mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-05 01:49:23 +08:00
Cloudflare turn integration (#264)
* Turn integration * Add code: * type hint * Fix typehint * add code * format * WIP * trickle ice * bump version * Better docs * Modify * code * Mute icon for whisper * Add code * llama 4 demo * code * OpenAI interruptions * fix docs
This commit is contained in:
2
.github/workflows/docs.yml
vendored
2
.github/workflows/docs.yml
vendored
@@ -33,7 +33,7 @@ jobs:
|
||||
path: .cache
|
||||
restore-keys: |
|
||||
mkdocs-material-
|
||||
- run: pip install mkdocs-material mkdocs-llmstxt
|
||||
- run: pip install mkdocs-material mkdocs-llmstxt==0.1.0
|
||||
- name: Build docs
|
||||
run: mkdocs build
|
||||
|
||||
|
||||
@@ -1,6 +1,10 @@
|
||||
from .credentials import (
|
||||
get_cloudflare_turn_credentials,
|
||||
get_cloudflare_turn_credentials_async,
|
||||
get_hf_turn_credentials,
|
||||
get_hf_turn_credentials_async,
|
||||
get_turn_credentials,
|
||||
get_turn_credentials_async,
|
||||
get_twilio_turn_credentials,
|
||||
)
|
||||
from .pause_detection import (
|
||||
@@ -70,6 +74,10 @@ __all__ = [
|
||||
"Warning",
|
||||
"get_tts_model",
|
||||
"KokoroTTSOptions",
|
||||
"get_cloudflare_turn_credentials_async",
|
||||
"get_hf_turn_credentials_async",
|
||||
"get_turn_credentials_async",
|
||||
"get_cloudflare_turn_credentials",
|
||||
"wait_for_item",
|
||||
"UIArgs",
|
||||
"ModelOptions",
|
||||
|
||||
@@ -1,29 +1,268 @@
|
||||
import os
|
||||
import warnings
|
||||
from typing import Literal
|
||||
|
||||
import requests
|
||||
import httpx
|
||||
|
||||
CLOUDFLARE_FASTRTC_TURN_URL = "https://turn.fastrtc.org/credentials"
|
||||
|
||||
async_httpx_client = httpx.AsyncClient()
|
||||
|
||||
|
||||
def get_hf_turn_credentials(token=None):
|
||||
def _format_response(response):
|
||||
if response.is_success:
|
||||
return response.json()
|
||||
else:
|
||||
raise Exception(
|
||||
f"Failed to get TURN credentials: {response.status_code} {response.text}"
|
||||
)
|
||||
|
||||
|
||||
def get_hf_turn_credentials(token=None, ttl=600):
|
||||
"""Retrieves TURN credentials from Hugging Face (deprecated).
|
||||
|
||||
This function fetches TURN server credentials using a Hugging Face token.
|
||||
It is deprecated and `get_cloudflare_turn_credentials` should be used instead.
|
||||
|
||||
Args:
|
||||
token (str, optional): Hugging Face API token. Defaults to None, in which
|
||||
case the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials.
|
||||
|
||||
Raises:
|
||||
ValueError: If no token is provided and the HF_TOKEN environment variable
|
||||
is not set.
|
||||
Exception: If the request to the TURN server fails.
|
||||
"""
|
||||
warnings.warn(
|
||||
"get_hf_turn_credentials is deprecated. Use get_cloudflare_turn_credentials instead.",
|
||||
UserWarning,
|
||||
)
|
||||
if token is None:
|
||||
token = os.getenv("HF_TOKEN")
|
||||
credentials = requests.get(
|
||||
"https://fastrtc-turn-server-login.hf.space/credentials",
|
||||
headers={"X-HF-Access-Token": token},
|
||||
if token is None:
|
||||
raise ValueError(
|
||||
"HF_TOKEN environment variable must be set or token must be provided to use get_hf_turn_credentials"
|
||||
)
|
||||
response = httpx.get(
|
||||
CLOUDFLARE_FASTRTC_TURN_URL,
|
||||
headers={
|
||||
"Authorization": f"Bearer {token}",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
params={"ttl": ttl},
|
||||
)
|
||||
if not credentials.status_code == 200:
|
||||
raise ValueError("Failed to get credentials from HF turn server")
|
||||
return {
|
||||
"iceServers": [
|
||||
{
|
||||
"urls": "turn:gradio-turn.com:80",
|
||||
**credentials.json(),
|
||||
return _format_response(response)
|
||||
|
||||
|
||||
async def get_hf_turn_credentials_async(
|
||||
token=None, ttl=600, client: httpx.AsyncClient | None = None
|
||||
):
|
||||
"""Asynchronously retrieves TURN credentials from Hugging Face (deprecated).
|
||||
|
||||
This function asynchronously fetches TURN server credentials using a Hugging Face
|
||||
token. It is deprecated and `get_cloudflare_turn_credentials_async` should be
|
||||
used instead.
|
||||
|
||||
Args:
|
||||
token (str, optional): Hugging Face API token. Defaults to None, in which
|
||||
case the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
client (httpx.AsyncClient | None, optional): An existing httpx async client
|
||||
to use for the request. If None, a default client is used. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials.
|
||||
|
||||
Raises:
|
||||
ValueError: If no token is provided and the HF_TOKEN environment variable
|
||||
is not set.
|
||||
Exception: If the request to the TURN server fails.
|
||||
"""
|
||||
warnings.warn(
|
||||
"get_hf_turn_credentials_async is deprecated. Use get_cloudflare_turn_credentials_async instead.",
|
||||
UserWarning,
|
||||
)
|
||||
if client is None:
|
||||
client = async_httpx_client
|
||||
|
||||
if token is None:
|
||||
token = os.getenv("HF_TOKEN")
|
||||
if token is None:
|
||||
raise ValueError(
|
||||
"HF_TOKEN environment variable must be set or token must be provided to use get_hf_turn_credentials"
|
||||
)
|
||||
async with client:
|
||||
response = await client.get(
|
||||
"https://turn.fastrtc.org/credentials",
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
params={"ttl": ttl},
|
||||
)
|
||||
return _format_response(response)
|
||||
|
||||
|
||||
def get_cloudflare_turn_credentials(
|
||||
turn_key_id=None, turn_key_api_token=None, hf_token=None, ttl=600
|
||||
):
|
||||
"""Retrieves TURN credentials from Cloudflare or Hugging Face.
|
||||
|
||||
Fetches TURN server credentials either directly from Cloudflare using API keys
|
||||
or via the Hugging Face TURN endpoint using an HF token. The HF token method
|
||||
takes precedence if provided.
|
||||
|
||||
Args:
|
||||
turn_key_id (str, optional): Cloudflare TURN key ID. Defaults to None,
|
||||
in which case the CLOUDFLARE_TURN_KEY_ID environment variable is used.
|
||||
turn_key_api_token (str, optional): Cloudflare TURN key API token.
|
||||
Defaults to None, in which case the CLOUDFLARE_TURN_KEY_API_TOKEN
|
||||
environment variable is used.
|
||||
hf_token (str, optional): Hugging Face API token. If provided, this method
|
||||
is used instead of Cloudflare keys. Defaults to None, in which case
|
||||
the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials (ICE servers).
|
||||
|
||||
Raises:
|
||||
ValueError: If neither HF token nor Cloudflare keys (either as arguments
|
||||
or environment variables) are provided.
|
||||
Exception: If the request to the credential server fails.
|
||||
"""
|
||||
if hf_token is None:
|
||||
hf_token = os.getenv("HF_TOKEN")
|
||||
if hf_token is not None:
|
||||
return httpx.get(
|
||||
CLOUDFLARE_FASTRTC_TURN_URL,
|
||||
headers={"Authorization": f"Bearer {hf_token}"},
|
||||
params={"ttl": ttl},
|
||||
).json()
|
||||
else:
|
||||
if turn_key_id is None or turn_key_api_token is None:
|
||||
turn_key_id = os.getenv("CLOUDFLARE_TURN_KEY_ID")
|
||||
turn_key_api_token = os.getenv("CLOUDFLARE_TURN_KEY_API_TOKEN")
|
||||
if turn_key_id is None or turn_key_api_token is None:
|
||||
raise ValueError(
|
||||
"HF_TOKEN or CLOUDFLARE_TURN_KEY_ID and CLOUDFLARE_TURN_KEY_API_TOKEN must be set to use get_cloudflare_turn_credentials_sync"
|
||||
)
|
||||
response = httpx.post(
|
||||
f"https://rtc.live.cloudflare.com/v1/turn/keys/{turn_key_id}/credentials/generate-ice-servers",
|
||||
headers={
|
||||
"Authorization": f"Bearer {turn_key_api_token}",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
]
|
||||
}
|
||||
json={"ttl": ttl},
|
||||
)
|
||||
if response.is_success:
|
||||
return response.json()
|
||||
else:
|
||||
raise Exception(
|
||||
f"Failed to get TURN credentials: {response.status_code} {response.text}"
|
||||
)
|
||||
|
||||
|
||||
async def get_cloudflare_turn_credentials_async(
|
||||
turn_key_id=None,
|
||||
turn_key_api_token=None,
|
||||
hf_token=None,
|
||||
ttl=600,
|
||||
client: httpx.AsyncClient | None = None,
|
||||
):
|
||||
"""Asynchronously retrieves TURN credentials from Cloudflare or Hugging Face.
|
||||
|
||||
Asynchronously fetches TURN server credentials either directly from Cloudflare
|
||||
using API keys or via the Hugging Face TURN endpoint using an HF token. The HF
|
||||
token method takes precedence if provided.
|
||||
|
||||
Args:
|
||||
turn_key_id (str, optional): Cloudflare TURN key ID. Defaults to None,
|
||||
in which case the CLOUDFLARE_TURN_KEY_ID environment variable is used.
|
||||
turn_key_api_token (str, optional): Cloudflare TURN key API token.
|
||||
Defaults to None, in which case the CLOUDFLARE_TURN_KEY_API_TOKEN
|
||||
environment variable is used.
|
||||
hf_token (str, optional): Hugging Face API token. If provided, this method
|
||||
is used instead of Cloudflare keys. Defaults to None, in which case
|
||||
the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
client (httpx.AsyncClient | None, optional): An existing httpx async client
|
||||
to use for the request. If None, a new client is created per request.
|
||||
Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials (ICE servers).
|
||||
|
||||
Raises:
|
||||
ValueError: If neither HF token nor Cloudflare keys (either as arguments
|
||||
or environment variables) are provided.
|
||||
Exception: If the request to the credential server fails.
|
||||
"""
|
||||
if client is None:
|
||||
client = async_httpx_client
|
||||
|
||||
if hf_token is None:
|
||||
hf_token = os.getenv("HF_TOKEN", "").strip()
|
||||
if hf_token is not None:
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(
|
||||
CLOUDFLARE_FASTRTC_TURN_URL,
|
||||
headers={"Authorization": f"Bearer {hf_token}"},
|
||||
params={"ttl": ttl},
|
||||
)
|
||||
return _format_response(response)
|
||||
else:
|
||||
if turn_key_id is None or turn_key_api_token is None:
|
||||
turn_key_id = os.getenv("CLOUDFLARE_TURN_KEY_ID")
|
||||
turn_key_api_token = os.getenv("CLOUDFLARE_TURN_KEY_API_TOKEN")
|
||||
if turn_key_id is None or turn_key_api_token is None:
|
||||
raise ValueError(
|
||||
"HF_TOKEN or CLOUDFLARE_TURN_KEY_ID and CLOUDFLARE_TURN_KEY_API_TOKEN must be set to use get_cloudflare_turn_credentials"
|
||||
)
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.post(
|
||||
f"https://rtc.live.cloudflare.com/v1/turn/keys/{turn_key_id}/credentials/generate-ice-servers",
|
||||
headers={
|
||||
"Authorization": f"Bearer {turn_key_api_token}",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
json={"ttl": ttl},
|
||||
)
|
||||
if response.is_success:
|
||||
return response.json()
|
||||
else:
|
||||
raise Exception(
|
||||
f"Failed to get TURN credentials: {response.status_code} {response.text}"
|
||||
)
|
||||
|
||||
|
||||
def get_twilio_turn_credentials(twilio_sid=None, twilio_token=None):
|
||||
"""Retrieves TURN credentials from Twilio.
|
||||
|
||||
Uses the Twilio REST API to generate temporary TURN credentials. Requires
|
||||
the `twilio` package to be installed.
|
||||
|
||||
Args:
|
||||
twilio_sid (str, optional): Twilio Account SID. Defaults to None, in which
|
||||
case the TWILIO_ACCOUNT_SID environment variable is used.
|
||||
twilio_token (str, optional): Twilio Auth Token. Defaults to None, in which
|
||||
case the TWILIO_AUTH_TOKEN environment variable is used.
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials formatted for WebRTC,
|
||||
including 'iceServers' and 'iceTransportPolicy'.
|
||||
|
||||
Raises:
|
||||
ImportError: If the `twilio` package is not installed.
|
||||
ValueError: If Twilio credentials (SID and token) are not provided either
|
||||
as arguments or environment variables.
|
||||
TwilioRestException: If the Twilio API request fails.
|
||||
"""
|
||||
try:
|
||||
from twilio.rest import Client
|
||||
except ImportError:
|
||||
@@ -43,10 +282,105 @@ def get_twilio_turn_credentials(twilio_sid=None, twilio_token=None):
|
||||
}
|
||||
|
||||
|
||||
def get_turn_credentials(method: Literal["hf", "twilio"] = "hf", **kwargs):
|
||||
def get_turn_credentials(
|
||||
method: Literal["hf", "twilio", "cloudflare"] = "cloudflare", **kwargs
|
||||
):
|
||||
"""Retrieves TURN credentials from the specified provider.
|
||||
|
||||
Acts as a dispatcher function to call the appropriate credential retrieval
|
||||
function based on the method specified.
|
||||
|
||||
Args:
|
||||
method (Literal["hf", "twilio", "cloudflare"], optional): The provider
|
||||
to use. 'hf' uses the deprecated Hugging Face endpoint. 'cloudflare'
|
||||
uses either Cloudflare keys or the HF endpoint. 'twilio' uses the
|
||||
Twilio API. Defaults to "cloudflare".
|
||||
**kwargs: Additional keyword arguments passed directly to the underlying
|
||||
provider-specific function (e.g., `token`, `ttl` for 'hf';
|
||||
`twilio_sid`, `twilio_token` for 'twilio'; `turn_key_id`,
|
||||
`turn_key_api_token`, `hf_token`, `ttl` for 'cloudflare').
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials from the chosen provider.
|
||||
|
||||
Raises:
|
||||
ValueError: If an invalid method is specified.
|
||||
Also raises exceptions from the underlying provider functions (see their
|
||||
docstrings).
|
||||
"""
|
||||
if method == "hf":
|
||||
return get_hf_turn_credentials(**kwargs)
|
||||
warnings.warn(
|
||||
"Method 'hf' is deprecated. Use 'cloudflare' instead.", UserWarning
|
||||
)
|
||||
# Ensure only relevant kwargs are passed
|
||||
hf_kwargs = {k: v for k, v in kwargs.items() if k in ["token", "ttl"]}
|
||||
return get_hf_turn_credentials(**hf_kwargs)
|
||||
elif method == "cloudflare":
|
||||
# Ensure only relevant kwargs are passed
|
||||
cf_kwargs = {
|
||||
k: v
|
||||
for k, v in kwargs.items()
|
||||
if k in ["turn_key_id", "turn_key_api_token", "hf_token", "ttl"]
|
||||
}
|
||||
return get_cloudflare_turn_credentials(**cf_kwargs)
|
||||
elif method == "twilio":
|
||||
return get_twilio_turn_credentials(**kwargs)
|
||||
# Ensure only relevant kwargs are passed
|
||||
twilio_kwargs = {
|
||||
k: v for k, v in kwargs.items() if k in ["twilio_sid", "twilio_token"]
|
||||
}
|
||||
return get_twilio_turn_credentials(**twilio_kwargs)
|
||||
else:
|
||||
raise ValueError("Invalid method. Must be 'hf' or 'twilio'")
|
||||
raise ValueError("Invalid method. Must be 'hf', 'twilio', or 'cloudflare'")
|
||||
|
||||
|
||||
async def get_turn_credentials_async(
|
||||
method: Literal["hf", "twilio", "cloudflare"] = "cloudflare", **kwargs
|
||||
):
|
||||
"""Asynchronously retrieves TURN credentials from the specified provider.
|
||||
|
||||
Acts as an async dispatcher function to call the appropriate async credential
|
||||
retrieval function based on the method specified.
|
||||
|
||||
Args:
|
||||
method (Literal["hf", "twilio", "cloudflare"], optional): The provider
|
||||
to use. 'hf' uses the deprecated Hugging Face endpoint. 'cloudflare'
|
||||
uses either Cloudflare keys or the HF endpoint. 'twilio' is not
|
||||
supported asynchronously by this function yet. Defaults to "cloudflare".
|
||||
**kwargs: Additional keyword arguments passed directly to the underlying
|
||||
provider-specific async function (e.g., `token`, `ttl`, `client` for 'hf';
|
||||
`turn_key_id`, `turn_key_api_token`, `hf_token`, `ttl`, `client` for
|
||||
'cloudflare').
|
||||
|
||||
Returns:
|
||||
dict: A dictionary containing the TURN credentials from the chosen provider.
|
||||
|
||||
Raises:
|
||||
ValueError: If an invalid or unsupported method is specified (currently
|
||||
'twilio' is not supported asynchronously here).
|
||||
NotImplementedError: If method 'twilio' is requested.
|
||||
Also raises exceptions from the underlying provider functions (see their
|
||||
docstrings).
|
||||
"""
|
||||
if method == "hf":
|
||||
warnings.warn(
|
||||
"Method 'hf' is deprecated. Use 'cloudflare' instead.", UserWarning
|
||||
)
|
||||
# Ensure only relevant kwargs are passed
|
||||
hf_kwargs = {k: v for k, v in kwargs.items() if k in ["token", "ttl", "client"]}
|
||||
return await get_hf_turn_credentials_async(**hf_kwargs)
|
||||
elif method == "cloudflare":
|
||||
# Ensure only relevant kwargs are passed
|
||||
cf_kwargs = {
|
||||
k: v
|
||||
for k, v in kwargs.items()
|
||||
if k in ["turn_key_id", "turn_key_api_token", "hf_token", "ttl", "client"]
|
||||
}
|
||||
return await get_cloudflare_turn_credentials_async(**cf_kwargs)
|
||||
elif method == "twilio":
|
||||
# Twilio client library doesn't have a standard async interface for this.
|
||||
# You might need to run the sync version in an executor or use a different library.
|
||||
raise NotImplementedError(
|
||||
"Async retrieval for Twilio credentials is not implemented."
|
||||
)
|
||||
else:
|
||||
raise ValueError("Invalid method. Must be 'hf', 'twilio', or 'cloudflare'")
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import inspect
|
||||
import logging
|
||||
from collections.abc import Callable
|
||||
from contextlib import AbstractAsyncContextManager
|
||||
@@ -9,6 +10,7 @@ from typing import (
|
||||
cast,
|
||||
)
|
||||
|
||||
import anyio
|
||||
import gradio as gr
|
||||
from fastapi import FastAPI, Request, WebSocket
|
||||
from fastapi.responses import HTMLResponse
|
||||
@@ -18,6 +20,7 @@ from pydantic import BaseModel
|
||||
from typing_extensions import NotRequired
|
||||
|
||||
from .tracks import HandlerType, StreamHandlerImpl
|
||||
from .utils import RTCConfigurationCallable
|
||||
from .webrtc import WebRTC
|
||||
from .webrtc_connection_mixin import WebRTCConnectionMixin
|
||||
from .websocket import WebSocketHandler
|
||||
@@ -98,7 +101,7 @@ class Stream(WebRTCConnectionMixin):
|
||||
time_limit: float | None = None,
|
||||
allow_extra_tracks: bool = False,
|
||||
rtp_params: dict[str, Any] | None = None,
|
||||
rtc_configuration: dict[str, Any] | None = None,
|
||||
rtc_configuration: RTCConfigurationCallable | None = None,
|
||||
track_constraints: dict[str, Any] | None = None,
|
||||
additional_inputs: list[Component] | None = None,
|
||||
additional_outputs: list[Component] | None = None,
|
||||
@@ -116,7 +119,7 @@ class Stream(WebRTCConnectionMixin):
|
||||
time_limit: Maximum execution time for the handler function in seconds.
|
||||
allow_extra_tracks: If True, allows connections with tracks not matching the modality.
|
||||
rtp_params: Optional dictionary of RTP encoding parameters.
|
||||
rtc_configuration: Optional dictionary for RTCPeerConnection configuration (e.g., ICE servers).
|
||||
rtc_configuration: Optional Callable or dictionary for RTCPeerConnection configuration (e.g., ICE servers).
|
||||
Required when deploying on Colab or Spaces.
|
||||
track_constraints: Optional dictionary of constraints for media tracks (e.g., resolution, frame rate).
|
||||
additional_inputs: Optional list of extra Gradio input components.
|
||||
@@ -749,6 +752,15 @@ class Stream(WebRTCConnectionMixin):
|
||||
body.model_dump(), set_outputs=self.set_additional_outputs(body.webrtc_id)
|
||||
)
|
||||
|
||||
async def get_rtc_configuration(self):
|
||||
if inspect.isfunction(self.rtc_configuration):
|
||||
if inspect.iscoroutinefunction(self.rtc_configuration):
|
||||
return await self.rtc_configuration()
|
||||
else:
|
||||
return anyio.to_thread.run_sync(self.rtc_configuration) # type: ignore
|
||||
else:
|
||||
return self.rtc_configuration
|
||||
|
||||
async def handle_incoming_call(self, request: Request):
|
||||
"""
|
||||
Handle incoming telephone calls (e.g., via Twilio).
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -7,7 +7,7 @@ import json
|
||||
import logging
|
||||
import tempfile
|
||||
import traceback
|
||||
from collections.abc import Callable
|
||||
from collections.abc import Callable, Coroutine
|
||||
from contextvars import ContextVar
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Literal, Protocol, TypedDict, cast
|
||||
@@ -486,3 +486,15 @@ async def wait_for_item(queue: asyncio.Queue, timeout: float = 0.1) -> Any:
|
||||
return await asyncio.wait_for(queue.get(), timeout=timeout)
|
||||
except (TimeoutError, asyncio.TimeoutError):
|
||||
return None
|
||||
|
||||
|
||||
RTCConfigurationCallable = (
|
||||
Callable[[], dict[str, Any]]
|
||||
| Callable[[], Coroutine[dict[str, Any], Any, dict[str, Any]]]
|
||||
| Callable[[str | None, str | None, str | None], dict[str, Any]]
|
||||
| Callable[
|
||||
[str | None, str | None, str | None],
|
||||
Coroutine[dict[str, Any], Any, dict[str, Any]],
|
||||
]
|
||||
| dict[str, Any]
|
||||
)
|
||||
|
||||
@@ -2,6 +2,7 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import inspect
|
||||
import logging
|
||||
from collections.abc import Callable, Iterable, Sequence
|
||||
from typing import (
|
||||
@@ -14,6 +15,8 @@ from typing import (
|
||||
cast,
|
||||
)
|
||||
|
||||
import anyio
|
||||
import anyio.to_thread
|
||||
from gradio import wasm_utils
|
||||
from gradio.components.base import Component, server
|
||||
from gradio_client import handle_file
|
||||
@@ -26,6 +29,7 @@ from .tracks import (
|
||||
VideoEventHandler,
|
||||
VideoStreamHandler,
|
||||
)
|
||||
from .utils import RTCConfigurationCallable
|
||||
from .webrtc_connection_mixin import WebRTCConnectionMixin
|
||||
|
||||
if TYPE_CHECKING:
|
||||
@@ -77,7 +81,7 @@ class WebRTC(Component, WebRTCConnectionMixin):
|
||||
render: bool = True,
|
||||
key: int | str | None = None,
|
||||
mirror_webcam: bool = True,
|
||||
rtc_configuration: dict[str, Any] | None = None,
|
||||
rtc_configuration: dict[str, Any] | None | RTCConfigurationCallable = None,
|
||||
track_constraints: dict[str, Any] | None = None,
|
||||
time_limit: float | None = None,
|
||||
allow_extra_tracks: bool = False,
|
||||
@@ -359,6 +363,19 @@ class WebRTC(Component, WebRTCConnectionMixin):
|
||||
concurrency_id=concurrency_id,
|
||||
)
|
||||
|
||||
@server
|
||||
async def turn(self, _):
|
||||
try:
|
||||
if inspect.isfunction(self.rtc_configuration):
|
||||
if inspect.iscoroutinefunction(self.rtc_configuration):
|
||||
return await self.rtc_configuration()
|
||||
else:
|
||||
return await anyio.to_thread.run_sync(self.rtc_configuration)
|
||||
else:
|
||||
return self.rtc_configuration or {}
|
||||
except Exception as e:
|
||||
return {"error": str(e)}
|
||||
|
||||
@server
|
||||
async def offer(self, body):
|
||||
return await self.handle_offer(
|
||||
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Talk to Gemini using Google's multimodal API
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|GEMINI_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|GEMINI_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Talk to Gemini (Gradio UI)
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|GEMINI_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|GEMINI_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -14,7 +14,7 @@ from fastapi.responses import HTMLResponse
|
||||
from fastrtc import (
|
||||
AsyncStreamHandler,
|
||||
Stream,
|
||||
get_twilio_turn_credentials,
|
||||
get_cloudflare_turn_credentials_async,
|
||||
wait_for_item,
|
||||
)
|
||||
from google import genai
|
||||
@@ -117,7 +117,7 @@ stream = Stream(
|
||||
modality="audio",
|
||||
mode="send-receive",
|
||||
handler=GeminiHandler(),
|
||||
rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
|
||||
rtc_configuration=get_cloudflare_turn_credentials_async if get_space() else None,
|
||||
concurrency_limit=5 if get_space() else None,
|
||||
time_limit=90 if get_space() else None,
|
||||
additional_inputs=[
|
||||
@@ -160,7 +160,7 @@ async def _(body: InputData):
|
||||
|
||||
@app.get("/")
|
||||
async def index():
|
||||
rtc_config = get_twilio_turn_credentials() if get_space() else None
|
||||
rtc_config = await get_cloudflare_turn_credentials_async() if get_space() else None
|
||||
html_content = (current_dir / "index.html").read_text()
|
||||
html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
@@ -98,6 +98,11 @@
|
||||
font-weight: 600;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
@@ -134,7 +139,6 @@
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
.pulse-circle {
|
||||
@@ -171,6 +175,23 @@
|
||||
background-color: #ffd700;
|
||||
color: black;
|
||||
}
|
||||
|
||||
/* Add styles for the mute toggle */
|
||||
.mute-toggle {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
cursor: pointer;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.mute-toggle svg {
|
||||
display: block;
|
||||
}
|
||||
|
||||
#start-button {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
@@ -221,6 +242,11 @@
|
||||
let dataChannel;
|
||||
let isRecording = false;
|
||||
let webrtc_id;
|
||||
let isMuted = false;
|
||||
let analyser_input, dataArray_input;
|
||||
let analyser, dataArray;
|
||||
let source_input = null;
|
||||
let source_output = null;
|
||||
|
||||
const startButton = document.getElementById('start-button');
|
||||
const apiKeyInput = document.getElementById('api-key');
|
||||
@@ -235,7 +261,28 @@
|
||||
boxContainer.appendChild(box);
|
||||
}
|
||||
|
||||
// SVG Icons
|
||||
const micIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
const micMutedIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
<line x1="1" y1="1" x2="23" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
function updateButtonState() {
|
||||
startButton.innerHTML = '';
|
||||
startButton.onclick = null;
|
||||
|
||||
if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
|
||||
startButton.innerHTML = `
|
||||
<div class="icon-with-spinner">
|
||||
@@ -243,15 +290,28 @@
|
||||
<span>Connecting...</span>
|
||||
</div>
|
||||
`;
|
||||
startButton.disabled = true;
|
||||
} else if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
startButton.innerHTML = `
|
||||
<div class="pulse-container">
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Recording</span>
|
||||
</div>
|
||||
const pulseContainer = document.createElement('div');
|
||||
pulseContainer.className = 'pulse-container';
|
||||
pulseContainer.innerHTML = `
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Recording</span>
|
||||
`;
|
||||
|
||||
const muteToggle = document.createElement('div');
|
||||
muteToggle.className = 'mute-toggle';
|
||||
muteToggle.title = isMuted ? 'Unmute' : 'Mute';
|
||||
muteToggle.innerHTML = isMuted ? micMutedIconSVG : micIconSVG;
|
||||
muteToggle.addEventListener('click', toggleMute);
|
||||
|
||||
startButton.appendChild(pulseContainer);
|
||||
startButton.appendChild(muteToggle);
|
||||
startButton.disabled = false;
|
||||
|
||||
} else {
|
||||
startButton.innerHTML = 'Start Recording';
|
||||
startButton.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -267,6 +327,23 @@
|
||||
}, 5000);
|
||||
}
|
||||
|
||||
function toggleMute(event) {
|
||||
event.stopPropagation();
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') return;
|
||||
|
||||
isMuted = !isMuted;
|
||||
console.log("Mute toggled:", isMuted);
|
||||
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.kind === 'audio') {
|
||||
sender.track.enabled = !isMuted;
|
||||
console.log(`Audio track ${sender.track.id} enabled: ${!isMuted}`);
|
||||
}
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
async function setupWebRTC() {
|
||||
const config = __RTC_CONFIGURATION__;
|
||||
peerConnection = new RTCPeerConnection(config);
|
||||
@@ -288,58 +365,74 @@
|
||||
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
stream.getTracks().forEach(track => peerConnection.addTrack(track, stream));
|
||||
|
||||
// Update audio visualization setup
|
||||
audioContext = new AudioContext();
|
||||
if (!audioContext || audioContext.state === 'closed') {
|
||||
audioContext = new AudioContext();
|
||||
}
|
||||
if (source_input) {
|
||||
try { source_input.disconnect(); } catch (e) { console.warn("Error disconnecting previous input source:", e); }
|
||||
source_input = null;
|
||||
}
|
||||
source_input = audioContext.createMediaStreamSource(stream);
|
||||
analyser_input = audioContext.createAnalyser();
|
||||
const source = audioContext.createMediaStreamSource(stream);
|
||||
source.connect(analyser_input);
|
||||
source_input.connect(analyser_input);
|
||||
analyser_input.fftSize = 64;
|
||||
dataArray_input = new Uint8Array(analyser_input.frequencyBinCount);
|
||||
|
||||
function updateAudioLevel() {
|
||||
analyser_input.getByteFrequencyData(dataArray_input);
|
||||
const average = Array.from(dataArray_input).reduce((a, b) => a + b, 0) / dataArray_input.length;
|
||||
const audioLevel = average / 255;
|
||||
|
||||
const pulseCircle = document.querySelector('.pulse-circle');
|
||||
if (pulseCircle) {
|
||||
console.log("audioLevel", audioLevel);
|
||||
pulseCircle.style.setProperty('--audio-level', 1 + audioLevel);
|
||||
}
|
||||
|
||||
animationId = requestAnimationFrame(updateAudioLevel);
|
||||
}
|
||||
updateAudioLevel();
|
||||
|
||||
// Add connection state change listener
|
||||
peerConnection.addEventListener('connectionstatechange', () => {
|
||||
console.log('connectionstatechange', peerConnection.connectionState);
|
||||
if (peerConnection.connectionState === 'connected') {
|
||||
clearTimeout(timeoutId);
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.style.display = 'none';
|
||||
if (analyser_input) updateAudioLevel();
|
||||
if (analyser) updateVisualization();
|
||||
} else if (['disconnected', 'failed', 'closed'].includes(peerConnection.connectionState)) {
|
||||
// Explicitly stop animations if connection drops unexpectedly
|
||||
// Note: stopWebRTC() handles the normal stop case
|
||||
}
|
||||
updateButtonState();
|
||||
});
|
||||
|
||||
// Handle incoming audio
|
||||
peerConnection.addEventListener('track', (evt) => {
|
||||
if (audioOutput && audioOutput.srcObject !== evt.streams[0]) {
|
||||
audioOutput.srcObject = evt.streams[0];
|
||||
audioOutput.play();
|
||||
peerConnection.onicecandidate = ({ candidate }) => {
|
||||
if (candidate) {
|
||||
console.debug("Sending ICE candidate", candidate);
|
||||
fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
candidate: candidate.toJSON(),
|
||||
webrtc_id: webrtc_id,
|
||||
type: "ice-candidate",
|
||||
})
|
||||
})
|
||||
}
|
||||
};
|
||||
|
||||
// Set up audio visualization on the output stream
|
||||
audioContext = new AudioContext();
|
||||
analyser = audioContext.createAnalyser();
|
||||
const source = audioContext.createMediaStreamSource(evt.streams[0]);
|
||||
source.connect(analyser);
|
||||
analyser.fftSize = 2048;
|
||||
dataArray = new Uint8Array(analyser.frequencyBinCount);
|
||||
updateVisualization();
|
||||
peerConnection.addEventListener('track', (evt) => {
|
||||
if (evt.track.kind === 'audio' && audioOutput) {
|
||||
if (audioOutput.srcObject !== evt.streams[0]) {
|
||||
audioOutput.srcObject = evt.streams[0];
|
||||
audioOutput.play().catch(e => console.error("Audio play failed:", e));
|
||||
|
||||
if (!audioContext || audioContext.state === 'closed') {
|
||||
console.warn("AudioContext not ready for output track analysis.");
|
||||
return;
|
||||
}
|
||||
if (source_output) {
|
||||
try { source_output.disconnect(); } catch (e) { console.warn("Error disconnecting previous output source:", e); }
|
||||
source_output = null;
|
||||
}
|
||||
source_output = audioContext.createMediaStreamSource(evt.streams[0]);
|
||||
analyser = audioContext.createAnalyser();
|
||||
source_output.connect(analyser);
|
||||
analyser.fftSize = 2048;
|
||||
dataArray = new Uint8Array(analyser.frequencyBinCount);
|
||||
updateVisualization();
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Create data channel for messages
|
||||
dataChannel = peerConnection.createDataChannel('text');
|
||||
dataChannel.onmessage = (event) => {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
@@ -360,24 +453,9 @@
|
||||
}
|
||||
};
|
||||
|
||||
// Create and send offer
|
||||
const offer = await peerConnection.createOffer();
|
||||
await peerConnection.setLocalDescription(offer);
|
||||
|
||||
await new Promise((resolve) => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
resolve();
|
||||
} else {
|
||||
const checkState = () => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
peerConnection.removeEventListener("icegatheringstatechange", checkState);
|
||||
resolve();
|
||||
}
|
||||
};
|
||||
peerConnection.addEventListener("icegatheringstatechange", checkState);
|
||||
}
|
||||
});
|
||||
|
||||
const response = await fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
@@ -394,7 +472,7 @@
|
||||
showError(serverResponse.meta.error === 'concurrency_limit_reached'
|
||||
? `Too many connections. Maximum limit is ${serverResponse.meta.limit}`
|
||||
: serverResponse.meta.error);
|
||||
stop();
|
||||
stopWebRTC();
|
||||
startButton.textContent = 'Start Recording';
|
||||
return;
|
||||
}
|
||||
@@ -404,13 +482,17 @@
|
||||
clearTimeout(timeoutId);
|
||||
console.error('Error setting up WebRTC:', err);
|
||||
showError('Failed to establish connection. Please try again.');
|
||||
stop();
|
||||
stopWebRTC();
|
||||
startButton.textContent = 'Start Recording';
|
||||
}
|
||||
}
|
||||
|
||||
function updateVisualization() {
|
||||
if (!analyser) return;
|
||||
if (!analyser || !peerConnection || !['connected', 'connecting'].includes(peerConnection.connectionState)) {
|
||||
const bars = document.querySelectorAll('.box');
|
||||
bars.forEach(bar => bar.style.transform = 'scaleY(0.1)');
|
||||
return;
|
||||
}
|
||||
|
||||
analyser.getByteFrequencyData(dataArray);
|
||||
const bars = document.querySelectorAll('.box');
|
||||
@@ -420,32 +502,114 @@
|
||||
bars[i].style.transform = `scaleY(${Math.max(0.1, barHeight)})`;
|
||||
}
|
||||
|
||||
animationId = requestAnimationFrame(updateVisualization);
|
||||
requestAnimationFrame(updateVisualization);
|
||||
}
|
||||
|
||||
function updateAudioLevel() {
|
||||
if (!analyser_input || !peerConnection || !['connected', 'connecting'].includes(peerConnection.connectionState)) {
|
||||
const pulseCircle = document.querySelector('.pulse-circle');
|
||||
if (pulseCircle) {
|
||||
pulseCircle.style.setProperty('--audio-level', 1);
|
||||
}
|
||||
return;
|
||||
}
|
||||
analyser_input.getByteFrequencyData(dataArray_input);
|
||||
const average = Array.from(dataArray_input).reduce((a, b) => a + b, 0) / dataArray_input.length;
|
||||
const audioLevel = average / 255;
|
||||
|
||||
const pulseCircle = document.querySelector('.pulse-circle');
|
||||
if (pulseCircle) {
|
||||
pulseCircle.style.setProperty('--audio-level', 1 + audioLevel);
|
||||
}
|
||||
|
||||
requestAnimationFrame(updateAudioLevel);
|
||||
}
|
||||
|
||||
function stopWebRTC() {
|
||||
console.log("Running stopWebRTC");
|
||||
if (peerConnection) {
|
||||
peerConnection.close();
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track) {
|
||||
sender.track.stop();
|
||||
}
|
||||
});
|
||||
peerConnection.ontrack = null;
|
||||
peerConnection.onicegatheringstatechange = null;
|
||||
peerConnection.onconnectionstatechange = null;
|
||||
|
||||
if (dataChannel) {
|
||||
dataChannel.onmessage = null;
|
||||
try { dataChannel.close(); } catch (e) { console.warn("Error closing data channel:", e); }
|
||||
dataChannel = null;
|
||||
}
|
||||
try { peerConnection.close(); } catch (e) { console.warn("Error closing peer connection:", e); }
|
||||
peerConnection = null;
|
||||
}
|
||||
if (animationId) {
|
||||
cancelAnimationFrame(animationId);
|
||||
|
||||
if (audioOutput) {
|
||||
audioOutput.pause();
|
||||
audioOutput.srcObject = null;
|
||||
}
|
||||
if (audioContext) {
|
||||
audioContext.close();
|
||||
|
||||
if (source_input) {
|
||||
try { source_input.disconnect(); } catch (e) { console.warn("Error disconnecting input source:", e); }
|
||||
source_input = null;
|
||||
}
|
||||
if (source_output) {
|
||||
try { source_output.disconnect(); } catch (e) { console.warn("Error disconnecting output source:", e); }
|
||||
source_output = null;
|
||||
}
|
||||
|
||||
if (audioContext && audioContext.state !== 'closed') {
|
||||
audioContext.close().then(() => {
|
||||
console.log("AudioContext closed successfully.");
|
||||
audioContext = null;
|
||||
}).catch(e => {
|
||||
console.error("Error closing AudioContext:", e);
|
||||
audioContext = null;
|
||||
});
|
||||
} else {
|
||||
audioContext = null;
|
||||
}
|
||||
|
||||
analyser_input = null;
|
||||
dataArray_input = null;
|
||||
analyser = null;
|
||||
dataArray = null;
|
||||
|
||||
isMuted = false;
|
||||
isRecording = false;
|
||||
updateButtonState();
|
||||
|
||||
const bars = document.querySelectorAll('.box');
|
||||
bars.forEach(bar => bar.style.transform = 'scaleY(0.1)');
|
||||
const pulseCircle = document.querySelector('.pulse-circle');
|
||||
if (pulseCircle) {
|
||||
pulseCircle.style.setProperty('--audio-level', 1);
|
||||
}
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', () => {
|
||||
if (!isRecording) {
|
||||
setupWebRTC();
|
||||
startButton.classList.add('recording');
|
||||
} else {
|
||||
stopWebRTC();
|
||||
startButton.classList.remove('recording');
|
||||
startButton.addEventListener('click', (event) => {
|
||||
if (event.target.closest('.mute-toggle')) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
console.log("Stop button clicked");
|
||||
stopWebRTC();
|
||||
} else if (!peerConnection || ['new', 'closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
console.log("Start button clicked");
|
||||
if (!apiKeyInput.value) {
|
||||
showError("Please enter your API Key.");
|
||||
return;
|
||||
}
|
||||
setupWebRTC();
|
||||
isRecording = true;
|
||||
updateButtonState();
|
||||
}
|
||||
isRecording = !isRecording;
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
</script>
|
||||
</body>
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
fastrtc
|
||||
fastrtc[vad]==0.0.20.rc2
|
||||
python-dotenv
|
||||
google-genai
|
||||
twilio
|
||||
|
||||
15
demo/talk_to_llama4/README.md
Normal file
15
demo/talk_to_llama4/README.md
Normal file
@@ -0,0 +1,15 @@
|
||||
---
|
||||
title: Talk to Llama 4
|
||||
emoji: 🦙
|
||||
colorFrom: purple
|
||||
colorTo: red
|
||||
sdk: gradio
|
||||
sdk_version: 5.23.3
|
||||
app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Talk to Llama 4 using Groq + Cloudflare
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|GROQ_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
120
demo/talk_to_llama4/app.py
Normal file
120
demo/talk_to_llama4/app.py
Normal file
@@ -0,0 +1,120 @@
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
import gradio as gr
|
||||
import numpy as np
|
||||
from dotenv import load_dotenv
|
||||
from fastapi import FastAPI
|
||||
from fastapi.responses import HTMLResponse, StreamingResponse
|
||||
from fastrtc import (
|
||||
AdditionalOutputs,
|
||||
ReplyOnPause,
|
||||
Stream,
|
||||
audio_to_bytes,
|
||||
get_cloudflare_turn_credentials_async,
|
||||
get_current_context,
|
||||
get_tts_model,
|
||||
)
|
||||
from groq import Groq
|
||||
from numpy.typing import NDArray
|
||||
|
||||
curr_dir = Path(__file__).parent
|
||||
load_dotenv()
|
||||
|
||||
tts_model = get_tts_model()
|
||||
groq = Groq(api_key=os.getenv("GROQ_API_KEY"))
|
||||
|
||||
|
||||
conversations: dict[str, list[dict[str, str]]] = {}
|
||||
|
||||
|
||||
def response(user_audio: tuple[int, NDArray[np.int16]]):
|
||||
context = get_current_context()
|
||||
if context.webrtc_id not in conversations:
|
||||
conversations[context.webrtc_id] = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": (
|
||||
"You are a helpful assistant that can answer questions and help with tasks."
|
||||
'Please return a short (that will be converted to audio using a text-to-speech model) response and long response to this question. They can be the same if appropriate. Please return in JSON format\n\n{"short":, "long"}\n\n'
|
||||
),
|
||||
}
|
||||
]
|
||||
messages = conversations[context.webrtc_id]
|
||||
|
||||
transcription = groq.audio.transcriptions.create(
|
||||
file=("audio.wav", audio_to_bytes(user_audio)),
|
||||
model="distil-whisper-large-v3-en",
|
||||
response_format="verbose_json",
|
||||
)
|
||||
print(transcription.text)
|
||||
|
||||
messages.append({"role": "user", "content": transcription.text})
|
||||
|
||||
completion = groq.chat.completions.create( # type: ignore
|
||||
model="meta-llama/llama-4-scout-17b-16e-instruct",
|
||||
messages=messages, # type: ignore
|
||||
temperature=1,
|
||||
max_completion_tokens=1024,
|
||||
top_p=1,
|
||||
stream=False,
|
||||
response_format={"type": "json_object"},
|
||||
stop=None,
|
||||
)
|
||||
response = completion.choices[0].message.content
|
||||
response = json.loads(response)
|
||||
short_response = response["short"]
|
||||
long_response = response["long"]
|
||||
messages.append({"role": "assistant", "content": long_response})
|
||||
conversations[context.webrtc_id] = messages
|
||||
yield from tts_model.stream_tts_sync(short_response)
|
||||
yield AdditionalOutputs(messages)
|
||||
|
||||
|
||||
stream = Stream(
|
||||
ReplyOnPause(response),
|
||||
modality="audio",
|
||||
mode="send-receive",
|
||||
additional_outputs=[gr.Chatbot(type="messages")],
|
||||
additional_outputs_handler=lambda old, new: new,
|
||||
rtc_configuration=get_cloudflare_turn_credentials_async,
|
||||
)
|
||||
|
||||
app = FastAPI()
|
||||
stream.mount(app)
|
||||
|
||||
|
||||
@app.get("/")
|
||||
async def _():
|
||||
rtc_config = await get_cloudflare_turn_credentials_async()
|
||||
html_content = (curr_dir / "index.html").read_text()
|
||||
html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
|
||||
@app.get("/outputs")
|
||||
async def _(webrtc_id: str):
|
||||
async def output_stream():
|
||||
async for output in stream.output_stream(webrtc_id):
|
||||
state = output.args[0]
|
||||
for msg in state[-2:]:
|
||||
data = {
|
||||
"message": msg,
|
||||
}
|
||||
yield f"event: output\ndata: {json.dumps(data)}\n\n"
|
||||
|
||||
return StreamingResponse(output_stream(), media_type="text/event-stream")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import os
|
||||
|
||||
if (mode := os.getenv("MODE")) == "UI":
|
||||
stream.ui.launch(server_port=7860)
|
||||
elif mode == "PHONE":
|
||||
raise ValueError("Phone mode not supported")
|
||||
else:
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run(app, host="0.0.0.0", port=7860)
|
||||
839
demo/talk_to_llama4/index.html
Normal file
839
demo/talk_to_llama4/index.html
Normal file
@@ -0,0 +1,839 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Talk to Llama 4</title>
|
||||
<style>
|
||||
:root {
|
||||
--color-primary: #3b82f6;
|
||||
--color-secondary: #f97316;
|
||||
--color-background: #0f172a;
|
||||
--color-surface: #1e293b;
|
||||
--color-text: #f1f5f9;
|
||||
--color-message-user: #334155;
|
||||
--color-message-assistant: #1e40af;
|
||||
--gradient-primary: linear-gradient(135deg, #3b82f6, #8b5cf6);
|
||||
--gradient-secondary: linear-gradient(135deg, #f97316, #ec4899);
|
||||
--boxSize: 8px;
|
||||
--gutter: 4px;
|
||||
}
|
||||
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
|
||||
background-color: var(--color-background);
|
||||
color: var(--color-text);
|
||||
min-height: 100vh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
padding: 2rem 1rem;
|
||||
background-image:
|
||||
radial-gradient(circle at 25% 25%, rgba(59, 130, 246, 0.1) 0%, transparent 50%),
|
||||
radial-gradient(circle at 75% 75%, rgba(249, 115, 22, 0.1) 0%, transparent 50%);
|
||||
}
|
||||
|
||||
.header-container {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 2rem;
|
||||
margin-bottom: 2rem;
|
||||
width: 100%;
|
||||
max-width: 800px;
|
||||
animation: fadeIn 1s ease-out;
|
||||
}
|
||||
|
||||
.header {
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.header h1 {
|
||||
font-size: 2.5rem;
|
||||
margin-bottom: 0.5rem;
|
||||
background: var(--gradient-primary);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
font-weight: 800;
|
||||
}
|
||||
|
||||
.header h2 {
|
||||
font-size: 1.2rem;
|
||||
font-weight: 400;
|
||||
color: rgba(241, 245, 249, 0.8);
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.logo {
|
||||
width: 120px;
|
||||
height: 120px;
|
||||
background: var(--color-surface);
|
||||
border-radius: 50%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
box-shadow: 0 15px 30px rgba(0, 0, 0, 0.3);
|
||||
position: relative;
|
||||
overflow: hidden;
|
||||
animation: float 6s ease-in-out infinite;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.logo::before {
|
||||
content: "";
|
||||
position: absolute;
|
||||
width: 200%;
|
||||
height: 200%;
|
||||
background: var(--gradient-secondary);
|
||||
opacity: 0.2;
|
||||
animation: rotate 10s linear infinite;
|
||||
}
|
||||
|
||||
.logo img {
|
||||
width: 75%;
|
||||
height: 75%;
|
||||
object-fit: contain;
|
||||
z-index: 2;
|
||||
}
|
||||
|
||||
.container {
|
||||
width: 100%;
|
||||
max-width: 800px;
|
||||
background-color: var(--color-surface);
|
||||
border-radius: 1rem;
|
||||
box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.25);
|
||||
overflow: hidden;
|
||||
animation: slideUp 0.5s ease-out;
|
||||
}
|
||||
|
||||
.chat-container {
|
||||
height: 400px;
|
||||
overflow-y: auto;
|
||||
padding: 1.5rem;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1rem;
|
||||
scroll-behavior: smooth;
|
||||
}
|
||||
|
||||
.message {
|
||||
max-width: 80%;
|
||||
padding: 1rem;
|
||||
border-radius: 1rem;
|
||||
line-height: 1.5;
|
||||
animation: fadeIn 0.3s ease-out;
|
||||
}
|
||||
|
||||
.message.user {
|
||||
background-color: var(--color-message-user);
|
||||
color: var(--color-text);
|
||||
align-self: flex-end;
|
||||
border-bottom-right-radius: 0.25rem;
|
||||
}
|
||||
|
||||
.message.assistant {
|
||||
background-color: var(--color-message-assistant);
|
||||
color: var(--color-text);
|
||||
align-self: flex-start;
|
||||
border-bottom-left-radius: 0.25rem;
|
||||
}
|
||||
|
||||
.wave-visualizer {
|
||||
height: 100px;
|
||||
padding: 1rem;
|
||||
background-color: rgba(30, 41, 59, 0.8);
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
position: relative;
|
||||
overflow: hidden;
|
||||
border-top: 1px solid rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
|
||||
.box-container {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
width: 100%;
|
||||
height: 64px;
|
||||
padding: 0 1rem;
|
||||
}
|
||||
|
||||
.box {
|
||||
height: 100%;
|
||||
width: var(--boxSize);
|
||||
background: var(--gradient-primary);
|
||||
border-radius: 4px;
|
||||
transform: scaleY(0.1);
|
||||
transition: transform 0.05s ease;
|
||||
}
|
||||
|
||||
.controls {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
padding: 1.5rem;
|
||||
gap: 1rem;
|
||||
border-top: 1px solid rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
|
||||
#start-button {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
background: var(--gradient-primary);
|
||||
color: white;
|
||||
border: none;
|
||||
border-radius: 9999px;
|
||||
padding: 0.75rem 1.5rem;
|
||||
font-size: 1rem;
|
||||
font-weight: 600;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s ease;
|
||||
box-shadow: 0 4px 14px rgba(59, 130, 246, 0.4);
|
||||
}
|
||||
|
||||
#start-button:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 6px 20px rgba(59, 130, 246, 0.6);
|
||||
}
|
||||
|
||||
#start-button:active {
|
||||
transform: translateY(1px);
|
||||
}
|
||||
|
||||
.icon-with-spinner {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
.spinner {
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
border: 2px solid white;
|
||||
border-top-color: transparent;
|
||||
border-radius: 50%;
|
||||
animation: spin 1s linear infinite;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.pulse-container {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
}
|
||||
|
||||
.pulse-circle {
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
border-radius: 50%;
|
||||
background: var(--color-secondary);
|
||||
opacity: 0.85;
|
||||
flex-shrink: 0;
|
||||
transform: scale(var(--audio-level, 1));
|
||||
transition: transform 0.1s ease;
|
||||
}
|
||||
|
||||
.mute-toggle {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
cursor: pointer;
|
||||
margin-left: 12px;
|
||||
flex-shrink: 0;
|
||||
filter: drop-shadow(0 4px 6px rgba(0, 0, 0, 0.2));
|
||||
}
|
||||
|
||||
.mute-toggle svg {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
stroke: white;
|
||||
}
|
||||
|
||||
.typing-indicator {
|
||||
padding: 0.5rem 1rem;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
background-color: var(--color-message-assistant);
|
||||
border-radius: 1rem;
|
||||
align-self: flex-start;
|
||||
margin-bottom: 0.5rem;
|
||||
display: none;
|
||||
animation: fadeIn 0.3s ease-out;
|
||||
}
|
||||
|
||||
.dots {
|
||||
display: inline-flex;
|
||||
gap: 4px;
|
||||
}
|
||||
|
||||
.dot {
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
background-color: white;
|
||||
border-radius: 50%;
|
||||
animation: bounce 1.5s infinite;
|
||||
opacity: 0.7;
|
||||
}
|
||||
|
||||
.dot:nth-child(2) {
|
||||
animation-delay: 0.15s;
|
||||
}
|
||||
|
||||
.dot:nth-child(3) {
|
||||
animation-delay: 0.3s;
|
||||
}
|
||||
|
||||
.toast {
|
||||
position: fixed;
|
||||
top: 20px;
|
||||
left: 50%;
|
||||
transform: translateX(-50%);
|
||||
padding: 1rem 1.5rem;
|
||||
border-radius: 0.5rem;
|
||||
font-size: 0.875rem;
|
||||
z-index: 1000;
|
||||
display: none;
|
||||
box-shadow: 0 10px 25px rgba(0, 0, 0, 0.3);
|
||||
animation: slideDown 0.3s ease-out;
|
||||
}
|
||||
|
||||
.toast.error {
|
||||
background-color: #ef4444;
|
||||
color: white;
|
||||
}
|
||||
|
||||
.toast.warning {
|
||||
background-color: #f59e0b;
|
||||
color: black;
|
||||
}
|
||||
|
||||
#audio-output {
|
||||
display: none;
|
||||
}
|
||||
|
||||
@keyframes float {
|
||||
|
||||
0%,
|
||||
100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
|
||||
50% {
|
||||
transform: translateY(-10px);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes rotate {
|
||||
0% {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
|
||||
100% {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes bounce {
|
||||
|
||||
0%,
|
||||
100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
|
||||
50% {
|
||||
transform: translateY(-4px);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes slideUp {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(20px);
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes slideDown {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translate(-50%, -20px);
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translate(-50%, 0);
|
||||
}
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<div id="error-toast" class="toast"></div>
|
||||
|
||||
<div class="header-container">
|
||||
<div class="logo">
|
||||
<img src="https://huggingface.co/datasets/freddyaboulton/bucket/resolve/main/Video%26Audio%20huggy.png"
|
||||
alt="LLaMA Logo">
|
||||
</div>
|
||||
<div class="header">
|
||||
<h1>Talk to LLaMA 4</h1>
|
||||
<h2>Experience seamless real-time conversation thanks to Cloudflare and Hugging Face's FastRTC.</h2>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="container">
|
||||
<div class="chat-container" id="chat-messages">
|
||||
<!-- Messages will appear here -->
|
||||
</div>
|
||||
|
||||
<div class="typing-indicator" id="typing-indicator">
|
||||
<div class="dots">
|
||||
<div class="dot"></div>
|
||||
<div class="dot"></div>
|
||||
<div class="dot"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="wave-visualizer">
|
||||
<div class="box-container" id="box-container">
|
||||
<!-- Boxes will be dynamically added here -->
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="controls">
|
||||
<button id="start-button">Start Conversation</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<audio id="audio-output"></audio>
|
||||
|
||||
<script>
|
||||
let peerConnection;
|
||||
let webrtc_id;
|
||||
const startButton = document.getElementById('start-button');
|
||||
const chatMessages = document.getElementById('chat-messages');
|
||||
const boxContainer = document.getElementById('box-container');
|
||||
const typingIndicator = document.getElementById('typing-indicator');
|
||||
const audioOutput = document.getElementById('audio-output');
|
||||
|
||||
let audioLevel = 0;
|
||||
let animationFrame_input, animationFrame_output;
|
||||
let audioContext_input, audioContext_output;
|
||||
let analyser_input, dataArray_input;
|
||||
let analyser_output, dataArray_output;
|
||||
let audioSource_input, audioSource_output;
|
||||
let messages = [];
|
||||
let eventSource;
|
||||
let isMuted = false;
|
||||
|
||||
// Create wave visualizer boxes
|
||||
const numBars = 32;
|
||||
for (let i = 0; i < numBars; i++) {
|
||||
const box = document.createElement('div');
|
||||
box.className = 'box';
|
||||
boxContainer.appendChild(box);
|
||||
}
|
||||
|
||||
// SVG Icons
|
||||
const micIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
const micMutedIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
<line x1="1" y1="1" x2="23" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
function updateButtonState() {
|
||||
const existingMuteButton = startButton.querySelector('.mute-toggle');
|
||||
if (existingMuteButton) {
|
||||
existingMuteButton.removeEventListener('click', toggleMute);
|
||||
}
|
||||
startButton.innerHTML = '';
|
||||
|
||||
if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
|
||||
startButton.innerHTML = `
|
||||
<div class="icon-with-spinner">
|
||||
<div class="spinner"></div>
|
||||
<span>Connecting...</span>
|
||||
</div>
|
||||
`;
|
||||
startButton.disabled = true;
|
||||
} else if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
const pulseContainer = document.createElement('div');
|
||||
pulseContainer.className = 'pulse-container';
|
||||
pulseContainer.innerHTML = `
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Conversation</span>
|
||||
`;
|
||||
|
||||
const muteToggle = document.createElement('div');
|
||||
muteToggle.className = 'mute-toggle';
|
||||
muteToggle.title = isMuted ? 'Unmute' : 'Mute';
|
||||
muteToggle.innerHTML = isMuted ? micMutedIconSVG : micIconSVG;
|
||||
muteToggle.addEventListener('click', toggleMute);
|
||||
|
||||
startButton.appendChild(pulseContainer);
|
||||
startButton.appendChild(muteToggle);
|
||||
startButton.disabled = false;
|
||||
|
||||
} else {
|
||||
startButton.textContent = 'Start Conversation';
|
||||
startButton.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
function toggleMute(event) {
|
||||
event.stopPropagation();
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') return;
|
||||
|
||||
isMuted = !isMuted;
|
||||
console.log("Mute toggled:", isMuted);
|
||||
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.kind === 'audio') {
|
||||
sender.track.enabled = !isMuted;
|
||||
console.log(`Audio track ${sender.track.id} enabled: ${!isMuted}`);
|
||||
}
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
function setupAudioVisualization(stream) {
|
||||
// Input audio context for pulse circle
|
||||
audioContext_input = new (window.AudioContext || window.webkitAudioContext)();
|
||||
analyser_input = audioContext_input.createAnalyser();
|
||||
audioSource_input = audioContext_input.createMediaStreamSource(stream);
|
||||
audioSource_input.connect(analyser_input);
|
||||
analyser_input.fftSize = 64;
|
||||
dataArray_input = new Uint8Array(analyser_input.frequencyBinCount);
|
||||
|
||||
function updateAudioLevel() {
|
||||
// Update input audio visualization (pulse circle)
|
||||
analyser_input.getByteFrequencyData(dataArray_input);
|
||||
const average = Array.from(dataArray_input).reduce((a, b) => a + b, 0) / dataArray_input.length;
|
||||
audioLevel = average / 255;
|
||||
|
||||
const pulseCircle = document.querySelector('.pulse-circle');
|
||||
if (pulseCircle) {
|
||||
pulseCircle.style.setProperty('--audio-level', 1 + audioLevel);
|
||||
}
|
||||
|
||||
animationFrame_input = requestAnimationFrame(updateAudioLevel);
|
||||
}
|
||||
|
||||
updateAudioLevel();
|
||||
}
|
||||
|
||||
function setupOutputVisualization(stream) {
|
||||
// Create separate audio context for output visualization
|
||||
audioContext_output = new (window.AudioContext || window.webkitAudioContext)();
|
||||
analyser_output = audioContext_output.createAnalyser();
|
||||
audioSource_output = audioContext_output.createMediaStreamSource(stream);
|
||||
audioSource_output.connect(analyser_output);
|
||||
analyser_output.fftSize = 2048;
|
||||
dataArray_output = new Uint8Array(analyser_output.frequencyBinCount);
|
||||
|
||||
function updateVisualization() {
|
||||
// Update output audio visualization (wave bars)
|
||||
analyser_output.getByteFrequencyData(dataArray_output);
|
||||
|
||||
const boxes = document.querySelectorAll('.box');
|
||||
for (let i = 0; i < boxes.length; i++) {
|
||||
const index = Math.floor(i * dataArray_output.length / boxes.length);
|
||||
const value = dataArray_output[index] / 255;
|
||||
boxes[i].style.transform = `scaleY(${Math.max(0.1, value * 1.5)})`;
|
||||
}
|
||||
|
||||
animationFrame_output = requestAnimationFrame(updateVisualization);
|
||||
}
|
||||
|
||||
updateVisualization();
|
||||
}
|
||||
|
||||
// Reset wave visualization bars to minimum height
|
||||
function resetVisualization() {
|
||||
const boxes = document.querySelectorAll('.box');
|
||||
boxes.forEach(box => box.style.transform = 'scaleY(0.1)');
|
||||
}
|
||||
|
||||
function showError(message) {
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.textContent = message;
|
||||
toast.className = 'toast error';
|
||||
toast.style.display = 'block';
|
||||
|
||||
setTimeout(() => {
|
||||
toast.style.display = 'none';
|
||||
}, 5000);
|
||||
}
|
||||
|
||||
function handleMessage(event) {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
|
||||
if (eventJson.type === "error") {
|
||||
showError(eventJson.message);
|
||||
} else if (eventJson.type === "send_input") {
|
||||
fetch('/input_hook', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({
|
||||
webrtc_id: webrtc_id,
|
||||
chatbot: messages,
|
||||
state: messages
|
||||
})
|
||||
});
|
||||
} else if (eventJson.type === "log") {
|
||||
if (eventJson.data === "pause_detected") {
|
||||
typingIndicator.style.display = 'block';
|
||||
chatMessages.scrollTop = chatMessages.scrollHeight;
|
||||
} else if (eventJson.data === "response_starting") {
|
||||
typingIndicator.style.display = 'none';
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function setupWebRTC() {
|
||||
const config = __RTC_CONFIGURATION__;
|
||||
peerConnection = new RTCPeerConnection(config);
|
||||
|
||||
const timeoutId = setTimeout(() => {
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.textContent = "Connection is taking longer than usual. Are you on a VPN?";
|
||||
toast.className = 'toast warning';
|
||||
toast.style.display = 'block';
|
||||
|
||||
setTimeout(() => {
|
||||
toast.style.display = 'none';
|
||||
}, 5000);
|
||||
}, 5000);
|
||||
|
||||
try {
|
||||
const stream = await navigator.mediaDevices.getUserMedia({
|
||||
audio: true
|
||||
});
|
||||
|
||||
setupAudioVisualization(stream);
|
||||
|
||||
stream.getTracks().forEach(track => {
|
||||
peerConnection.addTrack(track, stream);
|
||||
});
|
||||
|
||||
// Add this listener to handle incoming audio track
|
||||
peerConnection.addEventListener('track', (event) => {
|
||||
if (event.track.kind === 'audio') {
|
||||
console.log("Received audio track from server");
|
||||
|
||||
if (audioOutput) {
|
||||
audioOutput.srcObject = event.streams[0];
|
||||
audioOutput.play().catch(e => console.error("Audio play failed:", e));
|
||||
}
|
||||
|
||||
// Set up visualization for output audio with separate context
|
||||
setupOutputVisualization(event.streams[0]);
|
||||
}
|
||||
});
|
||||
|
||||
const dataChannel = peerConnection.createDataChannel('text');
|
||||
dataChannel.onmessage = handleMessage;
|
||||
|
||||
const offer = await peerConnection.createOffer();
|
||||
await peerConnection.setLocalDescription(offer);
|
||||
|
||||
peerConnection.onicecandidate = ({ candidate }) => {
|
||||
if (candidate) {
|
||||
console.debug("Sending ICE candidate", candidate);
|
||||
fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
candidate: candidate.toJSON(),
|
||||
webrtc_id: webrtc_id,
|
||||
type: "ice-candidate",
|
||||
})
|
||||
})
|
||||
}
|
||||
};
|
||||
|
||||
peerConnection.addEventListener('connectionstatechange', () => {
|
||||
console.log('connectionstatechange', peerConnection.connectionState);
|
||||
if (peerConnection.connectionState === 'connected') {
|
||||
clearTimeout(timeoutId);
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.style.display = 'none';
|
||||
} else if (['closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
stop();
|
||||
}
|
||||
updateButtonState();
|
||||
});
|
||||
|
||||
webrtc_id = Math.random().toString(36).substring(7);
|
||||
|
||||
const response = await fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
sdp: peerConnection.localDescription.sdp,
|
||||
type: peerConnection.localDescription.type,
|
||||
webrtc_id: webrtc_id
|
||||
})
|
||||
});
|
||||
|
||||
const serverResponse = await response.json();
|
||||
|
||||
if (serverResponse.status === 'failed') {
|
||||
showError(serverResponse.meta.error === 'concurrency_limit_reached'
|
||||
? `Too many connections. Maximum limit is ${serverResponse.meta.limit}`
|
||||
: serverResponse.meta.error);
|
||||
stop();
|
||||
return;
|
||||
}
|
||||
|
||||
await peerConnection.setRemoteDescription(serverResponse);
|
||||
|
||||
eventSource = new EventSource('/outputs?webrtc_id=' + webrtc_id);
|
||||
eventSource.addEventListener("output", (event) => {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
console.log(eventJson);
|
||||
messages.push(eventJson.message);
|
||||
addMessage(eventJson.message.role, eventJson.audio ?? eventJson.message.content);
|
||||
})
|
||||
} catch (err) {
|
||||
clearTimeout(timeoutId);
|
||||
console.error('Error setting up WebRTC:', err);
|
||||
showError('Failed to establish connection. Please try again.');
|
||||
stop();
|
||||
}
|
||||
}
|
||||
|
||||
function addMessage(role, content) {
|
||||
const messageDiv = document.createElement('div');
|
||||
messageDiv.classList.add('message', role);
|
||||
messageDiv.textContent = content;
|
||||
chatMessages.appendChild(messageDiv);
|
||||
chatMessages.scrollTop = chatMessages.scrollHeight;
|
||||
}
|
||||
|
||||
function stop() {
|
||||
if (eventSource) {
|
||||
eventSource.close();
|
||||
eventSource = null;
|
||||
}
|
||||
|
||||
if (animationFrame_input) {
|
||||
cancelAnimationFrame(animationFrame_input);
|
||||
animationFrame_input = null;
|
||||
}
|
||||
|
||||
if (animationFrame_output) {
|
||||
cancelAnimationFrame(animationFrame_output);
|
||||
animationFrame_output = null;
|
||||
}
|
||||
|
||||
if (audioContext_input) {
|
||||
audioContext_input.close().catch(e => console.error("Error closing input AudioContext:", e));
|
||||
audioContext_input = null;
|
||||
analyser_input = null;
|
||||
dataArray_input = null;
|
||||
audioSource_input = null;
|
||||
}
|
||||
|
||||
if (audioContext_output) {
|
||||
audioContext_output.close().catch(e => console.error("Error closing output AudioContext:", e));
|
||||
audioContext_output = null;
|
||||
analyser_output = null;
|
||||
dataArray_output = null;
|
||||
audioSource_output = null;
|
||||
}
|
||||
|
||||
if (audioOutput) {
|
||||
audioOutput.pause();
|
||||
audioOutput.srcObject = null;
|
||||
}
|
||||
|
||||
// Reset visualization
|
||||
resetVisualization();
|
||||
|
||||
if (peerConnection) {
|
||||
if (peerConnection.getTransceivers) {
|
||||
peerConnection.getTransceivers().forEach(transceiver => {
|
||||
if (transceiver.stop) {
|
||||
transceiver.stop();
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
peerConnection.onicecandidate = null;
|
||||
peerConnection.ondatachannel = null;
|
||||
peerConnection.onconnectionstatechange = null;
|
||||
|
||||
peerConnection.close();
|
||||
peerConnection = null;
|
||||
}
|
||||
|
||||
isMuted = false;
|
||||
updateButtonState();
|
||||
audioLevel = 0;
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', (event) => {
|
||||
if (event.target.closest('.mute-toggle')) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
console.log("Stop button clicked");
|
||||
stop();
|
||||
} else if (!peerConnection || ['new', 'closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
console.log("Start button clicked");
|
||||
messages = [];
|
||||
chatMessages.innerHTML = '';
|
||||
setupWebRTC();
|
||||
updateButtonState();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
3
demo/talk_to_llama4/requirements.txt
Normal file
3
demo/talk_to_llama4/requirements.txt
Normal file
@@ -0,0 +1,3 @@
|
||||
fastrtc[vad, tts]==0.0.20.rc2
|
||||
groq
|
||||
python-dotenv
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Talk to OpenAI using their multimodal API
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|OPENAI_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|OPENAI_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Talk to OpenAI (Gradio UI)
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|OPENAI_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|OPENAI_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -54,6 +54,9 @@ class OpenAIHandler(AsyncStreamHandler):
|
||||
)
|
||||
self.connection = conn
|
||||
async for event in self.connection:
|
||||
# Handle interruptions
|
||||
if event.type == "input_audio_buffer.speech_started":
|
||||
self.clear_queue()
|
||||
if event.type == "response.audio_transcript.done":
|
||||
await self.output_queue.put(AdditionalOutputs(event))
|
||||
if event.type == "response.audio.delta":
|
||||
|
||||
@@ -67,16 +67,21 @@
|
||||
}
|
||||
|
||||
button {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 10px;
|
||||
padding: 12px 24px;
|
||||
background-color: transparent;
|
||||
color: #ffffff;
|
||||
border: 1px solid #ffffff;
|
||||
padding: 12px 24px;
|
||||
font-family: inherit;
|
||||
font-size: 16px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 1px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
@@ -116,9 +121,7 @@
|
||||
.pulse-container {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
.pulse-circle {
|
||||
@@ -128,10 +131,47 @@
|
||||
background-color: #ffffff;
|
||||
opacity: 0.2;
|
||||
flex-shrink: 0;
|
||||
transform: translateX(-0%) scale(var(--audio-level, 1));
|
||||
transform: scale(var(--audio-level, 1));
|
||||
transition: transform 0.1s ease;
|
||||
}
|
||||
|
||||
/* Fix button layout */
|
||||
button {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 10px;
|
||||
padding: 12px 24px;
|
||||
background-color: transparent;
|
||||
color: #ffffff;
|
||||
border: 1px solid #ffffff;
|
||||
font-family: inherit;
|
||||
font-size: 16px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 1px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.mute-toggle {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
cursor: pointer;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.mute-toggle svg {
|
||||
display: block;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
}
|
||||
|
||||
#start-button {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
/* Add styles for toast notifications */
|
||||
.toast {
|
||||
position: fixed;
|
||||
@@ -177,6 +217,7 @@
|
||||
<script>
|
||||
let peerConnection;
|
||||
let webrtc_id;
|
||||
let isMuted = false;
|
||||
const audioOutput = document.getElementById('audio-output');
|
||||
const startButton = document.getElementById('start-button');
|
||||
const chatMessages = document.getElementById('chat-messages');
|
||||
@@ -185,27 +226,82 @@
|
||||
let animationFrame;
|
||||
let audioContext, analyser, audioSource;
|
||||
|
||||
// SVG Icons
|
||||
const micIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
const micMutedIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
<line x1="1" y1="1" x2="23" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
function updateButtonState() {
|
||||
const button = document.getElementById('start-button');
|
||||
|
||||
// Clear previous content
|
||||
button.innerHTML = '';
|
||||
|
||||
if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
|
||||
button.innerHTML = `
|
||||
<div class="icon-with-spinner">
|
||||
<div class="spinner"></div>
|
||||
<span>Connecting...</span>
|
||||
</div>
|
||||
`;
|
||||
const spinner = document.createElement('div');
|
||||
spinner.className = 'spinner';
|
||||
|
||||
const text = document.createElement('span');
|
||||
text.textContent = 'Connecting...';
|
||||
|
||||
button.appendChild(spinner);
|
||||
button.appendChild(text);
|
||||
} else if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
button.innerHTML = `
|
||||
<div class="pulse-container">
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Conversation</span>
|
||||
</div>
|
||||
`;
|
||||
// Create pulse circle
|
||||
const pulseCircle = document.createElement('div');
|
||||
pulseCircle.className = 'pulse-circle';
|
||||
|
||||
// Create mic icon
|
||||
const micIcon = document.createElement('div');
|
||||
micIcon.className = 'mute-toggle';
|
||||
micIcon.innerHTML = isMuted ? micMutedIconSVG : micIconSVG;
|
||||
micIcon.addEventListener('click', toggleMute);
|
||||
|
||||
// Create text
|
||||
const text = document.createElement('span');
|
||||
text.textContent = 'Stop Conversation';
|
||||
|
||||
// Add elements in correct order
|
||||
button.appendChild(pulseCircle);
|
||||
button.appendChild(micIcon);
|
||||
button.appendChild(text);
|
||||
} else {
|
||||
button.innerHTML = 'Start Conversation';
|
||||
const text = document.createElement('span');
|
||||
text.textContent = 'Start Conversation';
|
||||
button.appendChild(text);
|
||||
}
|
||||
}
|
||||
|
||||
function toggleMute(event) {
|
||||
event.stopPropagation();
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') return;
|
||||
|
||||
isMuted = !isMuted;
|
||||
console.log("Mute toggled:", isMuted);
|
||||
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.kind === 'audio') {
|
||||
sender.track.enabled = !isMuted;
|
||||
console.log(`Audio track ${sender.track.id} enabled: ${!isMuted}`);
|
||||
}
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
function setupAudioVisualization(stream) {
|
||||
audioContext = new (window.AudioContext || window.webkitAudioContext)();
|
||||
analyser = audioContext.createAnalyser();
|
||||
@@ -276,6 +372,21 @@
|
||||
}
|
||||
});
|
||||
|
||||
peerConnection.onicecandidate = ({ candidate }) => {
|
||||
if (candidate) {
|
||||
console.debug("Sending ICE candidate", candidate);
|
||||
fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
candidate: candidate.toJSON(),
|
||||
webrtc_id: webrtc_id,
|
||||
type: "ice-candidate",
|
||||
})
|
||||
})
|
||||
}
|
||||
};
|
||||
|
||||
const dataChannel = peerConnection.createDataChannel('text');
|
||||
dataChannel.onmessage = (event) => {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
@@ -287,20 +398,6 @@
|
||||
const offer = await peerConnection.createOffer();
|
||||
await peerConnection.setLocalDescription(offer);
|
||||
|
||||
await new Promise((resolve) => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
resolve();
|
||||
} else {
|
||||
const checkState = () => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
peerConnection.removeEventListener("icegatheringstatechange", checkState);
|
||||
resolve();
|
||||
}
|
||||
};
|
||||
peerConnection.addEventListener("icegatheringstatechange", checkState);
|
||||
}
|
||||
});
|
||||
|
||||
peerConnection.addEventListener('connectionstatechange', () => {
|
||||
console.log('connectionstatechange', peerConnection.connectionState);
|
||||
if (peerConnection.connectionState === 'connected') {
|
||||
@@ -388,7 +485,12 @@
|
||||
audioLevel = 0;
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', () => {
|
||||
startButton.addEventListener('click', (event) => {
|
||||
// Skip if clicking the mute toggle
|
||||
if (event.target.closest('.mute-toggle')) {
|
||||
return;
|
||||
}
|
||||
|
||||
console.log('clicked');
|
||||
console.log(peerConnection, peerConnection?.connectionState);
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') {
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
fastrtc[vad]
|
||||
fastrtc[vad]==0.0.20.rc2
|
||||
openai
|
||||
twilio
|
||||
python-dotenv
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Llama 3.2 - SambaNova API
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|SAMBANOVA_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN_ALT, secret|SAMBANOVA_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Llama 3.2 - SambaNova API (Gradio)
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|SAMBANOVA_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN_ALT, secret|SAMBANOVA_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -13,8 +13,8 @@ from fastrtc import (
|
||||
AdditionalOutputs,
|
||||
ReplyOnPause,
|
||||
Stream,
|
||||
get_cloudflare_turn_credentials_async,
|
||||
get_stt_model,
|
||||
get_twilio_turn_credentials,
|
||||
)
|
||||
from gradio.utils import get_space
|
||||
from pydantic import BaseModel
|
||||
@@ -75,7 +75,7 @@ stream = Stream(
|
||||
additional_outputs=[chatbot, state],
|
||||
additional_outputs_handler=lambda *a: (a[2], a[3]),
|
||||
concurrency_limit=20 if get_space() else None,
|
||||
rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
|
||||
rtc_configuration=get_cloudflare_turn_credentials_async,
|
||||
)
|
||||
|
||||
app = FastAPI()
|
||||
@@ -95,7 +95,9 @@ class InputData(BaseModel):
|
||||
|
||||
@app.get("/")
|
||||
async def _():
|
||||
rtc_config = get_twilio_turn_credentials() if get_space() else None
|
||||
rtc_config = await get_cloudflare_turn_credentials_async(
|
||||
hf_token=os.getenv("HF_TOKEN_ALT")
|
||||
)
|
||||
html_content = (curr_dir / "index.html").read_text()
|
||||
html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
@@ -72,13 +72,17 @@
|
||||
background-color: #0066cc;
|
||||
color: white;
|
||||
border: none;
|
||||
padding: 12px 24px;
|
||||
padding: 12px 18px;
|
||||
font-family: inherit;
|
||||
font-size: 14px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s;
|
||||
border-radius: 4px;
|
||||
font-weight: 500;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
@@ -94,7 +98,6 @@
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
.spinner {
|
||||
@@ -118,7 +121,6 @@
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 12px;
|
||||
min-width: 180px;
|
||||
}
|
||||
|
||||
.pulse-circle {
|
||||
@@ -200,6 +202,23 @@
|
||||
background-color: #ffd700;
|
||||
color: black;
|
||||
}
|
||||
|
||||
/* Styles for the mute toggle icon */
|
||||
.mute-toggle {
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
cursor: pointer;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.mute-toggle svg {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
stroke: white;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
@@ -239,28 +258,82 @@
|
||||
let audioContext, analyser, audioSource;
|
||||
let messages = [];
|
||||
let eventSource;
|
||||
let isMuted = false;
|
||||
|
||||
// SVG Icons
|
||||
const micIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
const micMutedIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
<line x1="1" y1="1" x2="23" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
function updateButtonState() {
|
||||
const button = document.getElementById('start-button');
|
||||
const existingMuteButton = startButton.querySelector('.mute-toggle');
|
||||
if (existingMuteButton) {
|
||||
existingMuteButton.removeEventListener('click', toggleMute);
|
||||
}
|
||||
startButton.innerHTML = '';
|
||||
|
||||
if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
|
||||
button.innerHTML = `
|
||||
startButton.innerHTML = `
|
||||
<div class="icon-with-spinner">
|
||||
<div class="spinner"></div>
|
||||
<span>Connecting...</span>
|
||||
</div>
|
||||
`;
|
||||
startButton.disabled = true;
|
||||
} else if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
button.innerHTML = `
|
||||
<div class="pulse-container">
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Conversation</span>
|
||||
</div>
|
||||
const pulseContainer = document.createElement('div');
|
||||
pulseContainer.className = 'pulse-container';
|
||||
pulseContainer.innerHTML = `
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Conversation</span>
|
||||
`;
|
||||
|
||||
const muteToggle = document.createElement('div');
|
||||
muteToggle.className = 'mute-toggle';
|
||||
muteToggle.title = isMuted ? 'Unmute' : 'Mute';
|
||||
muteToggle.innerHTML = isMuted ? micMutedIconSVG : micIconSVG;
|
||||
muteToggle.addEventListener('click', toggleMute);
|
||||
|
||||
startButton.appendChild(pulseContainer);
|
||||
startButton.appendChild(muteToggle);
|
||||
startButton.disabled = false;
|
||||
|
||||
} else {
|
||||
button.innerHTML = 'Start Conversation';
|
||||
startButton.textContent = 'Start Conversation';
|
||||
startButton.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
function toggleMute(event) {
|
||||
event.stopPropagation();
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') return;
|
||||
|
||||
isMuted = !isMuted;
|
||||
console.log("Mute toggled:", isMuted);
|
||||
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.kind === 'audio') {
|
||||
sender.track.enabled = !isMuted;
|
||||
console.log(`Audio track ${sender.track.id} enabled: ${!isMuted}`);
|
||||
}
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
function setupAudioVisualization(stream) {
|
||||
audioContext = new (window.AudioContext || window.webkitAudioContext)();
|
||||
analyser = audioContext.createAnalyser();
|
||||
@@ -378,6 +451,8 @@
|
||||
clearTimeout(timeoutId);
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.style.display = 'none';
|
||||
} else if (['closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
stop();
|
||||
}
|
||||
updateButtonState();
|
||||
});
|
||||
@@ -448,9 +523,10 @@
|
||||
|
||||
if (animationFrame) {
|
||||
cancelAnimationFrame(animationFrame);
|
||||
animationFrame = null;
|
||||
}
|
||||
if (audioContext) {
|
||||
audioContext.close();
|
||||
audioContext.close().catch(e => console.error("Error closing AudioContext:", e));
|
||||
audioContext = null;
|
||||
analyser = null;
|
||||
audioSource = null;
|
||||
@@ -464,22 +540,33 @@
|
||||
});
|
||||
}
|
||||
|
||||
if (peerConnection.getSenders) {
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.stop) sender.track.stop();
|
||||
});
|
||||
}
|
||||
peerConnection.onicecandidate = null;
|
||||
peerConnection.ondatachannel = null;
|
||||
peerConnection.onconnectionstatechange = null;
|
||||
|
||||
peerConnection.close();
|
||||
peerConnection = null;
|
||||
console.log("Peer connection closed.");
|
||||
}
|
||||
isMuted = false;
|
||||
updateButtonState();
|
||||
audioLevel = 0;
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', () => {
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') {
|
||||
setupWebRTC();
|
||||
} else {
|
||||
startButton.addEventListener('click', (event) => {
|
||||
if (event.target.closest('.mute-toggle')) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
console.log("Stop button clicked");
|
||||
stop();
|
||||
} else if (!peerConnection || ['new', 'closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
console.log("Start button clicked");
|
||||
messages = [];
|
||||
chatMessages.innerHTML = '';
|
||||
setupWebRTC();
|
||||
updateButtonState();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
fastrtc[vad, stt]
|
||||
fastrtc[vad, stt]==0.0.20.rc2
|
||||
python-dotenv
|
||||
huggingface_hub>=0.29.0
|
||||
twilio
|
||||
@@ -9,7 +9,7 @@ app_file: app.py
|
||||
pinned: false
|
||||
license: mit
|
||||
short_description: Transcribe audio in realtime with Whisper
|
||||
tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|GROQ_API_KEY]
|
||||
tags: [webrtc, websocket, gradio, secret|HF_TOKEN, secret|GROQ_API_KEY]
|
||||
---
|
||||
|
||||
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
||||
@@ -12,8 +12,7 @@ tags:
|
||||
- webrtc
|
||||
- websocket
|
||||
- gradio
|
||||
- secret|TWILIO_ACCOUNT_SID
|
||||
- secret|TWILIO_AUTH_TOKEN
|
||||
- secret|HF_TOKEN
|
||||
- secret|GROQ_API_KEY
|
||||
title: Whisper Realtime Transcription (Gradio UI)
|
||||
---
|
||||
|
||||
@@ -9,14 +9,21 @@
|
||||
:root {
|
||||
--primary-gradient: linear-gradient(135deg, #f9a45c 0%, #e66465 100%);
|
||||
--background-cream: #faf8f5;
|
||||
--background-cream-end: #f7f5f2;
|
||||
/* Slightly warmer end color for body gradient */
|
||||
--text-dark: #2d2d2d;
|
||||
--transcript-bg: #ffffff;
|
||||
/* White background for transcript area */
|
||||
--transcript-border: #e0e0e0;
|
||||
/* Light border for transcript items */
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
background-color: var(--background-cream);
|
||||
/* Apply a subtle vertical gradient to the body */
|
||||
background: linear-gradient(to bottom, var(--background-cream), var(--background-cream-end));
|
||||
color: var(--text-dark);
|
||||
min-height: 100vh;
|
||||
}
|
||||
@@ -43,18 +50,26 @@
|
||||
|
||||
.container {
|
||||
max-width: 1000px;
|
||||
margin: 1.5rem auto;
|
||||
margin: 2.5rem auto;
|
||||
/* Increased top/bottom margin */
|
||||
padding: 0 2rem;
|
||||
}
|
||||
|
||||
.transcript-container {
|
||||
border-radius: 8px;
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.06);
|
||||
border-radius: 12px;
|
||||
/* Slightly larger radius */
|
||||
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.08);
|
||||
/* Enhanced shadow */
|
||||
padding: 1.5rem;
|
||||
height: 300px;
|
||||
height: 350px;
|
||||
/* Increased height */
|
||||
overflow-y: auto;
|
||||
margin-bottom: 1.5rem;
|
||||
border: 1px solid rgba(0, 0, 0, 0.1);
|
||||
margin-bottom: 2rem;
|
||||
/* Increased margin */
|
||||
border: 1px solid rgba(0, 0, 0, 0.05);
|
||||
/* Softer border */
|
||||
background-color: var(--transcript-bg);
|
||||
/* Use the new variable */
|
||||
}
|
||||
|
||||
.controls {
|
||||
@@ -73,6 +88,8 @@
|
||||
transition: all 0.2s ease;
|
||||
font-weight: 500;
|
||||
min-width: 180px;
|
||||
position: relative;
|
||||
padding-right: 50px;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
@@ -86,22 +103,39 @@
|
||||
|
||||
/* Transcript text styling */
|
||||
.transcript-container p {
|
||||
margin: 0.4rem 0;
|
||||
padding: 0.6rem;
|
||||
margin: 0.6rem 0;
|
||||
/* Increased vertical margin */
|
||||
padding: 0.8rem 1rem;
|
||||
/* Increased padding */
|
||||
background: var(--background-cream);
|
||||
border-radius: 4px;
|
||||
line-height: 1.4;
|
||||
font-size: 0.95rem;
|
||||
/* Use the lighter cream for contrast */
|
||||
border-radius: 6px;
|
||||
/* Slightly larger radius */
|
||||
line-height: 1.5;
|
||||
/* Improved line spacing */
|
||||
font-size: 0.98rem;
|
||||
/* Slightly larger font */
|
||||
border-left: 3px solid var(--transcript-border);
|
||||
/* Add a subtle left border */
|
||||
transition: background-color 0.2s ease;
|
||||
/* Smooth hover effect */
|
||||
}
|
||||
|
||||
/* Custom scrollbar - made thinner */
|
||||
.transcript-container p:hover {
|
||||
background-color: #fdfbf9;
|
||||
/* Slightly change background on hover */
|
||||
}
|
||||
|
||||
/* Custom scrollbar - update track color */
|
||||
.transcript-container::-webkit-scrollbar {
|
||||
width: 6px;
|
||||
width: 8px;
|
||||
/* Slightly wider scrollbar */
|
||||
}
|
||||
|
||||
.transcript-container::-webkit-scrollbar-track {
|
||||
background: var(--background-cream);
|
||||
border-radius: 3px;
|
||||
background: var(--background-cream-end);
|
||||
/* Match body end gradient */
|
||||
border-radius: 4px;
|
||||
}
|
||||
|
||||
.transcript-container::-webkit-scrollbar-thumb {
|
||||
@@ -176,6 +210,40 @@
|
||||
transition: transform 0.1s ease;
|
||||
}
|
||||
|
||||
/* Styles for the mute button */
|
||||
.mute-toggle {
|
||||
position: absolute;
|
||||
right: 10px;
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
cursor: pointer;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.mute-toggle svg {
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
stroke: white;
|
||||
}
|
||||
|
||||
/* Adjust layout for button content when mute is present */
|
||||
.button-content {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: calc(100% - 40px);
|
||||
margin-right: 40px;
|
||||
}
|
||||
|
||||
.icon-with-spinner,
|
||||
.pulse-container {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
@@ -206,10 +274,29 @@
|
||||
let audioContext, analyser, audioSource;
|
||||
let audioLevel = 0;
|
||||
let animationFrame;
|
||||
let isMuted = false;
|
||||
|
||||
const startButton = document.getElementById('start-button');
|
||||
const transcriptDiv = document.getElementById('transcript');
|
||||
|
||||
// SVG Icons
|
||||
const micIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
const micMutedIconSVG = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 1a3 3 0 0 0-3 3v8a3 3 0 0 0 6 0V4a3 3 0 0 0-3-3z"></path>
|
||||
<path d="M19 10v2a7 7 0 0 1-14 0v-2"></path>
|
||||
<line x1="12" y1="19" x2="12" y2="23"></line>
|
||||
<line x1="8" y1="23" x2="16" y2="23"></line>
|
||||
<line x1="1" y1="1" x2="23" y2="23"></line>
|
||||
</svg>`;
|
||||
|
||||
function showError(message) {
|
||||
const toast = document.getElementById('error-toast');
|
||||
toast.textContent = message;
|
||||
@@ -241,25 +328,63 @@
|
||||
}
|
||||
|
||||
function updateButtonState() {
|
||||
// Remove existing mute listener if present
|
||||
const existingMuteButton = startButton.querySelector('.mute-toggle');
|
||||
if (existingMuteButton) {
|
||||
existingMuteButton.removeEventListener('click', toggleMute);
|
||||
existingMuteButton.remove();
|
||||
}
|
||||
|
||||
if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
|
||||
startButton.innerHTML = `
|
||||
<div class="icon-with-spinner">
|
||||
<div class="spinner"></div>
|
||||
<span>Connecting...</span>
|
||||
<div class="button-content">
|
||||
<div class="icon-with-spinner">
|
||||
<div class="spinner"></div>
|
||||
<span>Connecting...</span>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
startButton.disabled = true;
|
||||
} else if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
startButton.innerHTML = `
|
||||
<div class="pulse-container">
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Recording</span>
|
||||
<div class="button-content">
|
||||
<div class="pulse-container">
|
||||
<div class="pulse-circle"></div>
|
||||
<span>Stop Recording</span>
|
||||
</div>
|
||||
</div>
|
||||
<div class="mute-toggle" title="${isMuted ? 'Unmute' : 'Mute'}">
|
||||
${isMuted ? micMutedIconSVG : micIconSVG}
|
||||
</div>
|
||||
`;
|
||||
startButton.disabled = false;
|
||||
const muteButton = startButton.querySelector('.mute-toggle');
|
||||
if (muteButton) {
|
||||
muteButton.addEventListener('click', toggleMute);
|
||||
}
|
||||
} else {
|
||||
startButton.innerHTML = 'Start Recording';
|
||||
startButton.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
function toggleMute(event) {
|
||||
event.stopPropagation();
|
||||
if (!peerConnection || peerConnection.connectionState !== 'connected') return;
|
||||
|
||||
isMuted = !isMuted;
|
||||
console.log("Mute toggled:", isMuted);
|
||||
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.kind === 'audio') {
|
||||
sender.track.enabled = !isMuted;
|
||||
console.log(`Audio track ${sender.track.id} enabled: ${!isMuted}`);
|
||||
}
|
||||
});
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
function setupAudioVisualization(stream) {
|
||||
audioContext = new (window.AudioContext || window.webkitAudioContext)();
|
||||
analyser = audioContext.createAnalyser();
|
||||
@@ -321,6 +446,21 @@
|
||||
updateButtonState();
|
||||
});
|
||||
|
||||
peerConnection.onicecandidate = ({ candidate }) => {
|
||||
if (candidate) {
|
||||
console.debug("Sending ICE candidate", candidate);
|
||||
fetch('/webrtc/offer', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
candidate: candidate.toJSON(),
|
||||
webrtc_id: webrtc_id,
|
||||
type: "ice-candidate",
|
||||
})
|
||||
})
|
||||
}
|
||||
};
|
||||
|
||||
// Create data channel for messages
|
||||
const dataChannel = peerConnection.createDataChannel('text');
|
||||
dataChannel.onmessage = handleMessage;
|
||||
@@ -329,20 +469,6 @@
|
||||
const offer = await peerConnection.createOffer();
|
||||
await peerConnection.setLocalDescription(offer);
|
||||
|
||||
await new Promise((resolve) => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
resolve();
|
||||
} else {
|
||||
const checkState = () => {
|
||||
if (peerConnection.iceGatheringState === "complete") {
|
||||
peerConnection.removeEventListener("icegatheringstatechange", checkState);
|
||||
resolve();
|
||||
}
|
||||
};
|
||||
peerConnection.addEventListener("icegatheringstatechange", checkState);
|
||||
}
|
||||
});
|
||||
|
||||
webrtc_id = Math.random().toString(36).substring(7);
|
||||
|
||||
const response = await fetch('/webrtc/offer', {
|
||||
@@ -392,41 +518,45 @@
|
||||
function stop() {
|
||||
if (animationFrame) {
|
||||
cancelAnimationFrame(animationFrame);
|
||||
animationFrame = null;
|
||||
}
|
||||
if (audioContext) {
|
||||
audioContext.close();
|
||||
audioContext.close().catch(e => console.error("Error closing AudioContext:", e));
|
||||
audioContext = null;
|
||||
analyser = null;
|
||||
audioSource = null;
|
||||
}
|
||||
if (peerConnection) {
|
||||
if (peerConnection.getTransceivers) {
|
||||
peerConnection.getTransceivers().forEach(transceiver => {
|
||||
if (transceiver.stop) {
|
||||
transceiver.stop();
|
||||
if (peerConnection.getSenders) {
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track) {
|
||||
sender.track.stop();
|
||||
console.log(`Track ${sender.track.id} stopped.`);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
if (peerConnection.getSenders) {
|
||||
peerConnection.getSenders().forEach(sender => {
|
||||
if (sender.track && sender.track.stop) sender.track.stop();
|
||||
});
|
||||
}
|
||||
|
||||
setTimeout(() => {
|
||||
peerConnection.close();
|
||||
}, 500);
|
||||
peerConnection.close();
|
||||
peerConnection = null;
|
||||
console.log("Peer connection closed.");
|
||||
}
|
||||
audioLevel = 0;
|
||||
isMuted = false;
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', () => {
|
||||
if (startButton.textContent === 'Start Recording') {
|
||||
setupWebRTC();
|
||||
} else {
|
||||
startButton.addEventListener('click', (event) => {
|
||||
if (event.target.closest('.mute-toggle')) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (peerConnection && peerConnection.connectionState === 'connected') {
|
||||
console.log("Stop button clicked");
|
||||
stop();
|
||||
} else if (!peerConnection || ['new', 'closed', 'failed', 'disconnected'].includes(peerConnection.connectionState)) {
|
||||
console.log("Start button clicked");
|
||||
transcriptDiv.innerHTML = '';
|
||||
setupWebRTC();
|
||||
updateButtonState();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
fastrtc[vad]
|
||||
fastrtc[vad]==0.0.20.rc2
|
||||
groq
|
||||
python-dotenv
|
||||
twilio
|
||||
python-dotenv
|
||||
@@ -3,27 +3,75 @@ When deploying in cloud environments with firewalls (like Hugging Face Spaces, R
|
||||
!!! tip
|
||||
The `rtc_configuration` parameter of the `Stream` class also be passed to the [`WebRTC`](../userguide/gradio) component directly if you're building a standalone gradio app.
|
||||
|
||||
## Community Server
|
||||
|
||||
Hugging Face graciously provides a TURN server for the community.
|
||||
## Cloudflare Calls API
|
||||
|
||||
Cloudflare also offers a managed TURN server with [Cloudflare Calls](https://www.cloudflare.com/en-au/developer-platform/products/cloudflare-calls/).
|
||||
|
||||
### With a Hugging Face Token
|
||||
|
||||
Cloudflare and Hugging Face have partnered to allow you to stream 10gb of WebRTC traffic per month for free with a Hugging Face account!
|
||||
|
||||
```python
|
||||
from fastrtc import Stream, get_cloudflare_turn_credentials_async
|
||||
|
||||
# Make sure the HF_TOKEN environment variable is set
|
||||
# Or pass in a callable with all arguments set
|
||||
|
||||
# make sure you don't commit your token to git!
|
||||
TOKEN = "hf_..."
|
||||
async def get_credentials():
|
||||
return await get_cloudflare_turn_credentials_async(hf_token=TOKEN)
|
||||
|
||||
stream = Stream(
|
||||
handler=...,
|
||||
rtc_configuration=get_credentials,
|
||||
modality="audio",
|
||||
mode="send-receive",
|
||||
)
|
||||
```
|
||||
|
||||
|
||||
### With a Cloudflare API Token
|
||||
|
||||
Once you have exhausted your monthly quota, you can create a **free** Cloudflare account.
|
||||
|
||||
Create an [account](https://developers.cloudflare.com/fundamentals/setup/account/create-account/) and head to the [Calls section in your dashboard](https://dash.cloudflare.com/?to=/:account/calls).
|
||||
|
||||
Choose `Create -> TURN App`, give it a name (like `fastrtc-demo`), and then hit the Create button.
|
||||
|
||||
Take note of the Turn Token ID (often exported as `TURN_KEY_ID`) and API Token (exported as `TURN_KEY_API_TOKEN`).
|
||||
|
||||
You can then connect from the WebRTC component like so:
|
||||
|
||||
```python
|
||||
from fastrtc import Stream, get_cloudflare_turn_credentials_async
|
||||
|
||||
# Make sure the TURN_KEY_ID and TURN_KEY_API_TOKEN environment variables are set
|
||||
stream = Stream(
|
||||
handler=...,
|
||||
rtc_configuration=get_cloudflare_turn_credentials_async,
|
||||
modality="audio",
|
||||
mode="send-receive",
|
||||
)
|
||||
```
|
||||
|
||||
## Community Server (Deprecated)
|
||||
|
||||
Hugging Face graciously provides 10gb of TURN traffic through Cloudflare's global network.
|
||||
In order to use it, you need to first create a Hugging Face account by going to [huggingface.co](https://huggingface.co/).
|
||||
|
||||
Then navigate to this [space](https://huggingface.co/spaces/fastrtc/turn-server-login) and follow the instructions on the page. You just have to click the "Log in" button and then the "Sign Up" button.
|
||||
|
||||

|
||||
Then you can create an [access token](https://huggingface.co/docs/hub/en/security-tokens).
|
||||
|
||||
Then you can use the `get_hf_turn_credentials` helper to get your credentials:
|
||||
|
||||
```python
|
||||
from fastrtc import get_hf_turn_credentials, Stream
|
||||
|
||||
# Pass a valid access token for your Hugging Face account
|
||||
# or set the HF_TOKEN environment variable
|
||||
credentials = get_hf_turn_credentials(token=None)
|
||||
# Make sure the HF_TOKEN environment variable is set
|
||||
|
||||
Stream(
|
||||
handler=...,
|
||||
rtc_configuration=credentials,
|
||||
rtc_configuration=get_hf_turn_credentials,
|
||||
modality="audio",
|
||||
mode="send-receive"
|
||||
)
|
||||
@@ -31,8 +79,7 @@ Stream(
|
||||
|
||||
!!! warning
|
||||
|
||||
This is a shared resource so we make no latency/availability guarantees.
|
||||
For more robust options, see the Twilio, Cloudflare and self-hosting options below.
|
||||
This function is now deprecated. Please use `get_cloudflare_turn_credentials` instead.
|
||||
|
||||
|
||||
## Twilio API
|
||||
@@ -78,50 +125,6 @@ Stream(
|
||||
rtc_configuration = get_twilio_turn_credentials()
|
||||
```
|
||||
|
||||
## Cloudflare Calls API
|
||||
|
||||
Cloudflare also offers a managed TURN server with [Cloudflare Calls](https://www.cloudflare.com/en-au/developer-platform/products/cloudflare-calls/).
|
||||
|
||||
Create a **free** [account](https://developers.cloudflare.com/fundamentals/setup/account/create-account/) and head to the [Calls section in your dashboard](https://dash.cloudflare.com/?to=/:account/calls).
|
||||
|
||||
Choose `Create -> TURN App`, give it a name (like `fastrtc-demo`), and then hit the Create button.
|
||||
|
||||
Take note of the Turn Token ID (often exported as `TURN_KEY_ID`) and API Token (exported as `TURN_KEY_API_TOKEN`).
|
||||
|
||||
You can then connect from the WebRTC component like so:
|
||||
|
||||
```python
|
||||
from fastrtc import Stream
|
||||
import requests
|
||||
import os
|
||||
|
||||
turn_key_id = os.environ.get("TURN_KEY_ID")
|
||||
turn_key_api_token = os.environ.get("TURN_KEY_API_TOKEN")
|
||||
ttl = 86400 # Can modify TTL, here it's set to 24 hours
|
||||
|
||||
response = requests.post(
|
||||
f"https://rtc.live.cloudflare.com/v1/turn/keys/{turn_key_id}/credentials/generate-ice-servers",
|
||||
headers={
|
||||
"Authorization": f"Bearer {turn_key_api_token}",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
json={"ttl": ttl},
|
||||
)
|
||||
if response.ok:
|
||||
rtc_configuration = response.json()
|
||||
else:
|
||||
raise Exception(
|
||||
f"Failed to get TURN credentials: {response.status_code} {response.text}"
|
||||
)
|
||||
|
||||
stream = Stream(
|
||||
handler=...,
|
||||
rtc_configuration=rtc_configuration,
|
||||
modality="audio",
|
||||
mode="send-receive",
|
||||
)
|
||||
```
|
||||
|
||||
## Self Hosting
|
||||
|
||||
We have developed a script that can automatically deploy a TURN server to Amazon Web Services (AWS). You can follow the instructions [here](https://github.com/freddyaboulton/turn-server-deploy) or this guide.
|
||||
|
||||
267
docs/reference/credentials.md
Normal file
267
docs/reference/credentials.md
Normal file
@@ -0,0 +1,267 @@
|
||||
# TURN Credential Utils
|
||||
|
||||
## `get_turn_credentials_async`
|
||||
|
||||
```python
|
||||
async def get_turn_credentials_async(
|
||||
method: Literal["hf", "twilio", "cloudflare"] = "cloudflare",
|
||||
**kwargs
|
||||
):
|
||||
```
|
||||
|
||||
Retrieves TURN credentials from the specified provider.
|
||||
This can be passed directly to the Stream class and it will be called for each
|
||||
unique WebRTC connection via the Gradio UI. When mounting to FastAPI, call this function
|
||||
yourself to return the credentials to the frontend client, for example, in the
|
||||
index route, you can call this function and embed the credentials in the source code of the index.html.
|
||||
See the FastRTC spaces at hf.co/fastrtc for an example.
|
||||
|
||||
Acts as a dispatcher function to call the appropriate credential retrieval
|
||||
function based on the method specified.
|
||||
|
||||
Args:
|
||||
```
|
||||
method: Literal["hf", "twilio", "cloudflare"] | None
|
||||
The provider to use. 'hf' uses the deprecated Hugging Face endpoint.
|
||||
'cloudflare' uses either Cloudflare keys or the HF endpoint.
|
||||
'twilio' uses the Twilio API. Defaults to "cloudflare".
|
||||
**kwargs:
|
||||
Additional keyword arguments passed directly to the underlying
|
||||
provider-specific function (e.g., `token`, `ttl` for 'hf';
|
||||
`twilio_sid`, `twilio_token` for 'twilio'; `turn_key_id`,
|
||||
`turn_key_api_token`, `hf_token`, `ttl` for 'cloudflare').
|
||||
```
|
||||
|
||||
Returns:
|
||||
```
|
||||
dict:
|
||||
A dictionary containing the TURN credentials from the chosen provider.
|
||||
```
|
||||
|
||||
Raises:
|
||||
```
|
||||
ValueError:
|
||||
If an invalid method is specified.
|
||||
Also raises exceptions from the underlying provider functions (see their
|
||||
docstrings).
|
||||
```
|
||||
|
||||
Example
|
||||
```python
|
||||
>>> from fastrtc import get_turn_credentials_async, Stream
|
||||
>>> credentials = await get_turn_credentials_async()
|
||||
>>> print(credentials)
|
||||
>>> # Can pass directly to stream class
|
||||
>>> stream = Stream(..., rtc_configuration=get_turn_credentials_async)
|
||||
```
|
||||
|
||||
## `get_turn_credentials`
|
||||
|
||||
```python
|
||||
def get_turn_credentials(
|
||||
method: Literal["hf", "twilio", "cloudflare"] = "cloudflare",
|
||||
**kwargs
|
||||
):
|
||||
```
|
||||
|
||||
Retrieves TURN credentials from the specified provider.
|
||||
This can be passed directly to the Stream class and it will be called for each
|
||||
unique WebRTC connection via the Gradio UI. When mounting to FastAPI, call this function
|
||||
yourself to return the credentials to the frontend client, for example, in the
|
||||
index route, you can call this function and embed the credentials in the source code of the index.html.
|
||||
See the FastRTC spaces at hf.co/fastrtc for an example.
|
||||
|
||||
Acts as a dispatcher function to call the appropriate credential retrieval
|
||||
function based on the method specified.
|
||||
|
||||
Args:
|
||||
```
|
||||
method: Literal["hf", "twilio", "cloudflare"] | None
|
||||
The provider to use. 'hf' uses the deprecated Hugging Face endpoint.
|
||||
'cloudflare' uses either Cloudflare keys or the HF endpoint.
|
||||
'twilio' uses the Twilio API. Defaults to "cloudflare".
|
||||
**kwargs:
|
||||
Additional keyword arguments passed directly to the underlying
|
||||
provider-specific function (e.g., `token`, `ttl` for 'hf';
|
||||
`twilio_sid`, `twilio_token` for 'twilio'; `turn_key_id`,
|
||||
`turn_key_api_token`, `hf_token`, `ttl` for 'cloudflare').
|
||||
```
|
||||
|
||||
Returns:
|
||||
```
|
||||
dict:
|
||||
A dictionary containing the TURN credentials from the chosen provider.
|
||||
```
|
||||
|
||||
Raises:
|
||||
```
|
||||
ValueError:
|
||||
If an invalid method is specified.
|
||||
Also raises exceptions from the underlying provider functions (see their
|
||||
docstrings).
|
||||
```
|
||||
|
||||
Example
|
||||
```python
|
||||
>>> from fastrtc import get_turn_credentials, Stream
|
||||
>>> credentials = get_turn_credentials()
|
||||
>>> print(credentials)
|
||||
>>> # Can pass directly to stream class
|
||||
>>> stream = Stream(..., rtc_configuration=get_turn_credentials_async)
|
||||
```
|
||||
|
||||
## `get_cloudflare_turn_credentials_async`
|
||||
|
||||
```python
|
||||
async def get_cloudflare_turn_credentials_async(
|
||||
turn_key_id=None,
|
||||
turn_key_api_token=None,
|
||||
hf_token=None,
|
||||
ttl=600,
|
||||
client: httpx.AsyncClient | None = None,
|
||||
):
|
||||
```
|
||||
|
||||
Asynchronously retrieves TURN credentials from Cloudflare or Hugging Face.
|
||||
|
||||
Asynchronously fetches TURN server credentials either directly from Cloudflare
|
||||
using API keys or via the Hugging Face TURN endpoint using an HF token. The HF
|
||||
token method takes precedence if provided.
|
||||
|
||||
Args:
|
||||
```
|
||||
turn_key_id (str, optional):
|
||||
Cloudflare TURN key ID. Defaults to None,
|
||||
in which case the CLOUDFLARE_TURN_KEY_ID environment variable is used.
|
||||
turn_key_api_token (str, optional):
|
||||
Cloudflare TURN key API token.
|
||||
Defaults to None, in which case the CLOUDFLARE_TURN_KEY_API_TOKEN
|
||||
environment variable is used.
|
||||
hf_token (str, optional):
|
||||
Hugging Face API token. If provided, this method
|
||||
is used instead of Cloudflare keys.
|
||||
Defaults to None, in which case the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
client (httpx.AsyncClient | None, optional): An existing httpx async client
|
||||
to use for the request. If None, a new client is created per request.
|
||||
Defaults to None.
|
||||
```
|
||||
|
||||
Returns:
|
||||
```
|
||||
dict: A dictionary containing the TURN credentials (ICE servers).
|
||||
```
|
||||
|
||||
Raises:
|
||||
```
|
||||
ValueError: If neither HF token nor Cloudflare keys (either as arguments
|
||||
or environment variables) are provided.
|
||||
Exception: If the request to the credential server fails.
|
||||
```
|
||||
|
||||
Example
|
||||
```python
|
||||
>>> from fastrtc import get_cloudflare_turn_crendials_async, Stream
|
||||
>>> credentials = await get_cloudflare_turn_credentials_async()
|
||||
>>> print(credentials)
|
||||
>>> # Can pass directly to stream class
|
||||
>>> stream = Stream(..., rtc_configuration=get_turn_credentials_async)
|
||||
```
|
||||
|
||||
|
||||
## `get_cloudflare_turn_credentials`
|
||||
|
||||
```python
|
||||
def get_cloudflare_turn_credentials(
|
||||
turn_key_id=None,
|
||||
turn_key_api_token=None,
|
||||
hf_token=None,
|
||||
ttl=600,
|
||||
client: httpx.AsyncClient | None = None,
|
||||
):
|
||||
```
|
||||
|
||||
Retrieves TURN credentials from Cloudflare or Hugging Face.
|
||||
|
||||
Fetches TURN server credentials either directly from Cloudflare using API keys
|
||||
or via the Hugging Face TURN endpoint using an HF token. The HF token method
|
||||
takes precedence if provided.
|
||||
|
||||
Args:
|
||||
```
|
||||
turn_key_id (str, optional):
|
||||
Cloudflare TURN key ID. Defaults to None,
|
||||
in which case the CLOUDFLARE_TURN_KEY_ID environment variable is used.
|
||||
turn_key_api_token (str, optional):
|
||||
Cloudflare TURN key API token.
|
||||
Defaults to None, in which case the CLOUDFLARE_TURN_KEY_API_TOKEN
|
||||
environment variable is used.
|
||||
hf_token (str, optional):
|
||||
Hugging Face API token. If provided, this method
|
||||
is used instead of Cloudflare keys.
|
||||
Defaults to None, in which case the HF_TOKEN environment variable is used.
|
||||
ttl (int, optional): Time-to-live for the credentials in seconds.
|
||||
Defaults to 600.
|
||||
client (httpx.AsyncClient | None, optional): An existing httpx async client
|
||||
to use for the request. If None, a new client is created per request.
|
||||
Defaults to None.
|
||||
```
|
||||
|
||||
Returns:
|
||||
```
|
||||
dict: A dictionary containing the TURN credentials (ICE servers).
|
||||
```
|
||||
|
||||
Raises:
|
||||
```
|
||||
ValueError: If neither HF token nor Cloudflare keys (either as arguments
|
||||
or environment variables) are provided.
|
||||
Exception: If the request to the credential server fails.
|
||||
```
|
||||
|
||||
Example
|
||||
```python
|
||||
>>> from fastrtc import get_cloudflare_turn_crendials_async, Stream
|
||||
>>> credentials = await get_cloudflare_turn_credentials_async()
|
||||
>>> print(credentials)
|
||||
>>> # Can pass directly to stream class
|
||||
>>> stream = Stream(..., rtc_configuration=get_turn_credentials_async)
|
||||
```
|
||||
|
||||
## `get_twilio_turn_credentials`
|
||||
|
||||
```python
|
||||
def get_twilio_turn_credentials(
|
||||
twilio_sid=None,
|
||||
twilio_token=None):
|
||||
```
|
||||
|
||||
Retrieves TURN credentials from Twilio.
|
||||
|
||||
Uses the Twilio REST API to generate temporary TURN credentials. Requires
|
||||
the `twilio` package to be installed.
|
||||
|
||||
Args:
|
||||
```
|
||||
twilio_sid (str, optional):
|
||||
Twilio Account SID. Defaults to None, in which
|
||||
case the TWILIO_ACCOUNT_SID environment variable is used.
|
||||
twilio_token (str, optional):
|
||||
Twilio Auth Token. Defaults to None, in which
|
||||
case the TWILIO_AUTH_TOKEN environment variable is used.
|
||||
```
|
||||
Returns:
|
||||
```
|
||||
dict:
|
||||
A dictionary containing the TURN credentials formatted for WebRTC,
|
||||
including 'iceServers' and 'iceTransportPolicy'.
|
||||
```
|
||||
|
||||
Raises:
|
||||
```
|
||||
ImportError: If the `twilio` package is not installed.
|
||||
ValueError: If Twilio credentials (SID and token) are not provided either
|
||||
as arguments or environment variables.
|
||||
TwilioRestException: If the Twilio API request fails.
|
||||
```
|
||||
@@ -23,6 +23,7 @@
|
||||
export let width: number | undefined;
|
||||
export let server: {
|
||||
offer: (body: any) => Promise<any>;
|
||||
turn: () => Promise<any>;
|
||||
};
|
||||
|
||||
export let container = false;
|
||||
|
||||
@@ -73,6 +73,7 @@
|
||||
|
||||
export let server: {
|
||||
offer: (body: any) => Promise<any>;
|
||||
turn: () => Promise<any>;
|
||||
};
|
||||
|
||||
let stream_state: "open" | "closed" | "waiting" = "closed";
|
||||
@@ -148,7 +149,17 @@
|
||||
}
|
||||
_webrtc_id = Math.random().toString(36).substring(2);
|
||||
value = _webrtc_id;
|
||||
stream_state = "waiting";
|
||||
await server.turn().then((rtc_configuration_) => {
|
||||
if (rtc_configuration_.error) {
|
||||
dispatch("error", rtc_configuration_.error);
|
||||
return;
|
||||
}
|
||||
rtc_configuration = rtc_configuration_;
|
||||
console.info("rtc_configuration", rtc_configuration_);
|
||||
});
|
||||
pc = new RTCPeerConnection(rtc_configuration);
|
||||
console.info("created");
|
||||
pc.addEventListener("connectionstatechange", async (event) => {
|
||||
switch (pc.connectionState) {
|
||||
case "connected":
|
||||
@@ -173,7 +184,6 @@
|
||||
break;
|
||||
}
|
||||
});
|
||||
stream_state = "waiting";
|
||||
stream = null;
|
||||
|
||||
try {
|
||||
|
||||
@@ -40,6 +40,14 @@
|
||||
|
||||
$: if (value === "start_webrtc_stream") {
|
||||
_webrtc_id = Math.random().toString(36).substring(2);
|
||||
server
|
||||
.turn()
|
||||
.then((rtc_configuration_) => {
|
||||
rtc_configuration = rtc_configuration_;
|
||||
})
|
||||
.catch((error) => {
|
||||
dispatch("error", error);
|
||||
});
|
||||
value = _webrtc_id;
|
||||
pc = new RTCPeerConnection(rtc_configuration);
|
||||
pc.addEventListener("connectionstatechange", async (event) => {
|
||||
|
||||
@@ -39,6 +39,7 @@ nav:
|
||||
- Pause Detection Handlers: reference/reply_on_pause.md
|
||||
- Stream Handlers: reference/stream_handlers.md
|
||||
- Utils: reference/utils.md
|
||||
- TURN Credentials: reference/credentials.md
|
||||
|
||||
extra_javascript:
|
||||
- https://cdn.jsdelivr.net/npm/marked/marked.min.js
|
||||
|
||||
@@ -8,7 +8,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "fastrtc"
|
||||
version = "0.0.19"
|
||||
version = "0.0.20.rc2"
|
||||
description = "The realtime communication library for Python"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
@@ -84,7 +84,7 @@ packages = ["/backend/fastrtc"]
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
asyncio_mode = "auto"
|
||||
asyncio_default_fixture_loop_scope="function"
|
||||
asyncio_default_fixture_loop_scope = "function"
|
||||
|
||||
[tool.ruff]
|
||||
src = ["demo", "backend/fastrtc", "test"]
|
||||
@@ -99,19 +99,10 @@ skip-magic-trailing-comma = false
|
||||
line-ending = "auto"
|
||||
|
||||
[tool.ruff.lint]
|
||||
select = [
|
||||
"E",
|
||||
"F",
|
||||
"W",
|
||||
"Q",
|
||||
"I",
|
||||
"UP",
|
||||
]
|
||||
select = ["E", "F", "W", "Q", "I", "UP"]
|
||||
|
||||
# These can be turned on when the framework is more mature (Too many errors right now)
|
||||
exclude = [
|
||||
"D",
|
||||
]
|
||||
exclude = ["D"]
|
||||
|
||||
# Avoid enforcing line-length violations (`E501`)
|
||||
ignore = ["E501"]
|
||||
@@ -125,13 +116,10 @@ convention = "google"
|
||||
|
||||
[tool.pyright]
|
||||
include = ["backend/fastrtc"]
|
||||
exclude = [
|
||||
"**/__pycache__",
|
||||
"**/*.pyi",
|
||||
]
|
||||
exclude = ["**/__pycache__", "**/*.pyi"]
|
||||
|
||||
reportMissingImports = false
|
||||
reportMissingTypeStubs = false
|
||||
|
||||
pythonVersion = "3.10"
|
||||
pythonPlatform = "Linux"
|
||||
pythonPlatform = "Linux"
|
||||
|
||||
Reference in New Issue
Block a user