mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-05 01:49:23 +08:00
@@ -6,12 +6,22 @@ from .credentials import (
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from .reply_on_pause import AlgoOptions, ReplyOnPause, SileroVadOptions
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from .reply_on_stopwords import ReplyOnStopWords
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from .speech_to_text import stt, stt_for_chunks
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from .utils import AdditionalOutputs, audio_to_bytes, audio_to_file, audio_to_float32
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from .webrtc import StreamHandler, WebRTC
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from .utils import (
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AdditionalOutputs,
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aggregate_bytes_to_16bit,
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async_aggregate_bytes_to_16bit,
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audio_to_bytes,
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audio_to_file,
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audio_to_float32,
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)
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from .webrtc import AsyncStreamHandler, StreamHandler, WebRTC
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__all__ = [
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"AsyncStreamHandler",
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"AlgoOptions",
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"AdditionalOutputs",
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"aggregate_bytes_to_16bit",
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"async_aggregate_bytes_to_16bit",
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"audio_to_bytes",
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"audio_to_file",
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"audio_to_float32",
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@@ -10,7 +10,7 @@ import numpy as np
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from gradio_webrtc.pause_detection import SileroVADModel, SileroVadOptions
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from gradio_webrtc.utils import AdditionalOutputs
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from gradio_webrtc.webrtc import StreamHandler
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from gradio_webrtc.webrtc import EmitType, StreamHandler
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logger = getLogger(__name__)
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@@ -47,25 +47,11 @@ ReplyFnGenerator = Union[
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# For two arguments
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Callable[
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[tuple[int, np.ndarray], list[dict[Any, Any]]],
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Generator[
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tuple[int, np.ndarray]
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| tuple[int, np.ndarray, Literal["mono", "stereo"]]
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| AdditionalOutputs
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| tuple[tuple[int, np.ndarray], AdditionalOutputs],
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None,
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None,
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],
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Generator[EmitType, None, None],
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],
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Callable[
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[tuple[int, np.ndarray]],
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Generator[
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tuple[int, np.ndarray]
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| tuple[int, np.ndarray, Literal["mono", "stereo"]]
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| AdditionalOutputs
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| tuple[tuple[int, np.ndarray], AdditionalOutputs],
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None,
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None,
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],
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Generator[EmitType, None, None],
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],
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]
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@@ -99,11 +85,9 @@ class ReplyOnPause(StreamHandler):
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self.is_async = inspect.isasyncgenfunction(fn)
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self.event = Event()
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self.state = AppState()
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self.generator = None
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self.generator: Generator[EmitType, None, None] | None = None
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self.model_options = model_options
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self.algo_options = algo_options or AlgoOptions()
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self.latest_args: list[Any] = []
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self.args_set = Event()
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@property
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def _needs_additional_inputs(self) -> bool:
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@@ -168,23 +152,12 @@ class ReplyOnPause(StreamHandler):
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self.event.set()
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def reset(self):
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self.args_set.clear()
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super().reset()
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self.generator = None
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self.event.clear()
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self.state = AppState()
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def set_args(self, args: list[Any]):
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super().set_args(args)
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self.args_set.set()
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async def fetch_args(
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self,
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):
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if self.channel:
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self.channel.send("tick")
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logger.debug("Sent tick")
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async def async_iterate(self, generator) -> Any:
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async def async_iterate(self, generator) -> EmitType:
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return await anext(generator)
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def emit(self):
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@@ -193,8 +166,9 @@ class ReplyOnPause(StreamHandler):
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else:
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if not self.generator:
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if self._needs_additional_inputs and not self.args_set.is_set():
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asyncio.run_coroutine_threadsafe(self.fetch_args(), self.loop)
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self.args_set.wait()
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asyncio.run_coroutine_threadsafe(
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self.wait_for_args(), self.loop
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).result()
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logger.debug("Creating generator")
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audio = cast(np.ndarray, self.state.stream).reshape(1, -1)
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if self._needs_additional_inputs:
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@@ -71,7 +71,7 @@ class ReplyOnStopWords(ReplyOnPause):
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def send_stopword(self):
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asyncio.run_coroutine_threadsafe(self._send_stopword(), self.loop)
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def determine_pause(
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def determine_pause( # type: ignore
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self, audio: np.ndarray, sampling_rate: int, state: ReplyOnStopWordsState
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) -> bool:
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"""Take in the stream, determine if a pause happened"""
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@@ -128,7 +128,7 @@ class ReplyOnStopWords(ReplyOnPause):
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return False
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def reset(self):
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self.args_set.clear()
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super().reset()
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self.generator = None
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self.event.clear()
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self.state = ReplyOnStopWordsState()
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@@ -218,3 +218,43 @@ def audio_to_float32(audio: tuple[int, np.ndarray]) -> np.ndarray:
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>>> audio_float32 = audio_to_float32(audio_tuple)
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"""
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return audio[1].astype(np.float32) / 32768.0
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def aggregate_bytes_to_16bit(chunks_iterator):
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leftover = b"" # Store incomplete bytes between chunks
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for chunk in chunks_iterator:
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# Combine with any leftover bytes from previous chunk
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current_bytes = leftover + chunk
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# Calculate complete samples
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n_complete_samples = len(current_bytes) // 2 # int16 = 2 bytes
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bytes_to_process = n_complete_samples * 2
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# Split into complete samples and leftover
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to_process = current_bytes[:bytes_to_process]
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leftover = current_bytes[bytes_to_process:]
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if to_process: # Only yield if we have complete samples
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audio_array = np.frombuffer(to_process, dtype=np.int16).reshape(1, -1)
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yield audio_array
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async def async_aggregate_bytes_to_16bit(chunks_iterator):
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leftover = b"" # Store incomplete bytes between chunks
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async for chunk in chunks_iterator:
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# Combine with any leftover bytes from previous chunk
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current_bytes = leftover + chunk
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# Calculate complete samples
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n_complete_samples = len(current_bytes) // 2 # int16 = 2 bytes
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bytes_to_process = n_complete_samples * 2
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# Split into complete samples and leftover
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to_process = current_bytes[:bytes_to_process]
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leftover = current_bytes[bytes_to_process:]
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if to_process: # Only yield if we have complete samples
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audio_array = np.frombuffer(to_process, dtype=np.int16).reshape(1, -1)
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yield audio_array
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@@ -19,7 +19,9 @@ from typing import (
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Literal,
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ParamSpec,
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Sequence,
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TypeAlias,
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TypeVar,
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Union,
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cast,
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)
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@@ -161,7 +163,7 @@ class VideoCallback(VideoStreamTrack):
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logger.debug("traceback %s", exec)
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class StreamHandler(ABC):
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class StreamHandlerBase(ABC):
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def __init__(
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self,
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expected_layout: Literal["mono", "stereo"] = "mono",
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@@ -173,10 +175,11 @@ class StreamHandler(ABC):
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self.output_sample_rate = output_sample_rate
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self.output_frame_size = output_frame_size
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self.input_sample_rate = input_sample_rate
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self.latest_args: str | list[Any] = "not_set"
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self.latest_args: list[Any] = []
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self._resampler = None
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self._channel: DataChannel | None = None
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self._loop: asyncio.AbstractEventLoop
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self.args_set = asyncio.Event()
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@property
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def loop(self) -> asyncio.AbstractEventLoop:
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@@ -189,15 +192,30 @@ class StreamHandler(ABC):
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def set_channel(self, channel: DataChannel):
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self._channel = channel
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async def fetch_args(
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self,
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):
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if self.channel:
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self.channel.send("tick")
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logger.debug("Sent tick")
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async def wait_for_args(self):
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await self.fetch_args()
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await self.args_set.wait()
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def set_args(self, args: list[Any]):
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logger.debug("setting args in audio callback %s", args)
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self.latest_args = ["__webrtc_value__"] + list(args)
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self.args_set.set()
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def reset(self):
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self.args_set.clear()
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def shutdown(self):
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pass
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@abstractmethod
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def copy(self) -> "StreamHandler":
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def copy(self) -> "StreamHandlerBase":
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pass
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def resample(self, frame: AudioFrame) -> Generator[AudioFrame, None, None]:
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@@ -210,6 +228,17 @@ class StreamHandler(ABC):
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)
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yield from self._resampler.resample(frame)
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EmitType: TypeAlias = Union[
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tuple[int, np.ndarray],
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tuple[int, np.ndarray, Literal["mono", "stereo"]],
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AdditionalOutputs,
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tuple[tuple[int, np.ndarray], AdditionalOutputs],
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None,
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]
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class StreamHandler(StreamHandlerBase):
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@abstractmethod
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def receive(self, frame: tuple[int, np.ndarray]) -> None:
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pass
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@@ -217,22 +246,32 @@ class StreamHandler(ABC):
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@abstractmethod
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def emit(
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self,
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) -> (
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tuple[int, np.ndarray]
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| AdditionalOutputs
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| None
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| tuple[tuple[int, np.ndarray], AdditionalOutputs]
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):
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) -> EmitType:
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pass
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class AsyncStreamHandler(StreamHandlerBase):
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@abstractmethod
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async def receive(self, frame: tuple[int, np.ndarray]) -> None:
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pass
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@abstractmethod
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async def emit(
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self,
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) -> EmitType:
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pass
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StreamHandlerImpl = Union[StreamHandler, AsyncStreamHandler]
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class AudioCallback(AudioStreamTrack):
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kind = "audio"
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def __init__(
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self,
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track: MediaStreamTrack,
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event_handler: StreamHandler,
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event_handler: StreamHandlerImpl,
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channel: DataChannel | None = None,
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set_additional_outputs: Callable | None = None,
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) -> None:
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@@ -262,9 +301,14 @@ class AudioCallback(AudioStreamTrack):
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frame = cast(AudioFrame, await self.track.recv())
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for frame in self.event_handler.resample(frame):
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numpy_array = frame.to_ndarray()
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await anyio.to_thread.run_sync(
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self.event_handler.receive, (frame.sample_rate, numpy_array)
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)
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if isinstance(self.event_handler, AsyncStreamHandler):
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await self.event_handler.receive(
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(frame.sample_rate, numpy_array)
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)
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else:
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await anyio.to_thread.run_sync(
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self.event_handler.receive, (frame.sample_rate, numpy_array)
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)
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except MediaStreamError:
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logger.debug("MediaStreamError in process_input_frames")
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break
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@@ -272,9 +316,12 @@ class AudioCallback(AudioStreamTrack):
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def start(self):
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if not self.has_started:
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loop = asyncio.get_running_loop()
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callable = functools.partial(
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loop.run_in_executor, None, self.event_handler.emit
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)
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if isinstance(self.event_handler, AsyncStreamHandler):
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callable = self.event_handler.emit
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else:
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callable = functools.partial(
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loop.run_in_executor, None, self.event_handler.emit
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)
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asyncio.create_task(self.process_input_frames())
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asyncio.create_task(
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player_worker_decode(
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@@ -692,7 +739,7 @@ class WebRTC(Component):
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def stream(
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self,
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fn: Callable[..., Any] | StreamHandler | None = None,
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fn: Callable[..., Any] | StreamHandler | AsyncStreamHandler | None = None,
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inputs: Block | Sequence[Block] | set[Block] | None = None,
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outputs: Block | Sequence[Block] | set[Block] | None = None,
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js: str | None = None,
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@@ -721,7 +768,7 @@ class WebRTC(Component):
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if (
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self.mode == "send-receive"
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and self.modality == "audio"
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and not isinstance(self.event_handler, StreamHandler)
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and not isinstance(self.event_handler, (AsyncStreamHandler, StreamHandler))
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):
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raise ValueError(
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"In the send-receive mode for audio, the event handler must be an instance of StreamHandler."
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@@ -840,6 +887,8 @@ class WebRTC(Component):
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event_handler=handler,
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set_additional_outputs=set_outputs,
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)
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else:
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raise ValueError("Modality must be either video or audio")
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self.connections[body["webrtc_id"]] = cb
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if body["webrtc_id"] in self.data_channels:
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self.connections[body["webrtc_id"]].set_channel(
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@@ -862,6 +911,8 @@ class WebRTC(Component):
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cast(Callable, self.event_handler),
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set_additional_outputs=set_outputs,
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)
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else:
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raise ValueError("Modality must be either video or audio")
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logger.debug("Adding track to peer connection %s", cb)
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pc.addTrack(cb)
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@@ -8,7 +8,7 @@ build-backend = "hatchling.build"
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[project]
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name = "gradio_webrtc"
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version = "0.0.23"
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version = "0.0.24"
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description = "Stream images in realtime with webrtc"
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readme = "README.md"
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license = "apache-2.0"
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Reference in New Issue
Block a user