mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-05 18:09:23 +08:00
[feat] update some feature
sync code of fastrtc, add text support through datachannel, fix safari connect problem support chat without camera or mic
This commit is contained in:
15
demo/talk_to_claude/README.md
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15
demo/talk_to_claude/README.md
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@@ -0,0 +1,15 @@
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---
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title: Talk to Claude
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emoji: 👨🦰
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colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version: 5.16.0
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app_file: app.py
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pinned: false
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license: mit
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short_description: Talk to Anthropic's Claude
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tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|GROQ_API_KEY, secret|ANTHROPIC_API_KEY, secret|ELEVENLABS_API_KEY]
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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134
demo/talk_to_claude/app.py
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134
demo/talk_to_claude/app.py
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import json
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import os
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import time
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from pathlib import Path
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import anthropic
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import gradio as gr
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import numpy as np
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from dotenv import load_dotenv
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from elevenlabs import ElevenLabs
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse, StreamingResponse
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from fastrtc import (
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AdditionalOutputs,
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ReplyOnPause,
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Stream,
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get_tts_model,
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get_twilio_turn_credentials,
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)
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from fastrtc.utils import audio_to_bytes
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from gradio.utils import get_space
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from groq import Groq
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from pydantic import BaseModel
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load_dotenv()
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groq_client = Groq()
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claude_client = anthropic.Anthropic()
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tts_client = ElevenLabs(api_key=os.environ["ELEVENLABS_API_KEY"])
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curr_dir = Path(__file__).parent
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tts_model = get_tts_model()
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def response(
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audio: tuple[int, np.ndarray],
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chatbot: list[dict] | None = None,
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):
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chatbot = chatbot or []
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messages = [{"role": d["role"], "content": d["content"]} for d in chatbot]
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prompt = groq_client.audio.transcriptions.create(
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file=("audio-file.mp3", audio_to_bytes(audio)),
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model="whisper-large-v3-turbo",
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response_format="verbose_json",
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).text
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chatbot.append({"role": "user", "content": prompt})
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yield AdditionalOutputs(chatbot)
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messages.append({"role": "user", "content": prompt})
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response = claude_client.messages.create(
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model="claude-3-5-haiku-20241022",
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max_tokens=512,
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messages=messages, # type: ignore
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)
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response_text = " ".join(
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block.text # type: ignore
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for block in response.content
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if getattr(block, "type", None) == "text"
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)
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chatbot.append({"role": "assistant", "content": response_text})
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start = time.time()
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print("starting tts", start)
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for i, chunk in enumerate(tts_model.stream_tts_sync(response_text)):
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print("chunk", i, time.time() - start)
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yield chunk
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print("finished tts", time.time() - start)
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yield AdditionalOutputs(chatbot)
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chatbot = gr.Chatbot(type="messages")
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stream = Stream(
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modality="audio",
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mode="send-receive",
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handler=ReplyOnPause(response),
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additional_outputs_handler=lambda a, b: b,
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additional_inputs=[chatbot],
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additional_outputs=[chatbot],
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rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
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concurrency_limit=5 if get_space() else None,
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time_limit=90 if get_space() else None,
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)
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class Message(BaseModel):
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role: str
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content: str
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class InputData(BaseModel):
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webrtc_id: str
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chatbot: list[Message]
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app = FastAPI()
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stream.mount(app)
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@app.get("/")
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async def _():
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rtc_config = get_twilio_turn_credentials() if get_space() else None
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html_content = (curr_dir / "index.html").read_text()
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html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
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return HTMLResponse(content=html_content, status_code=200)
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@app.post("/input_hook")
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async def _(body: InputData):
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stream.set_input(body.webrtc_id, body.model_dump()["chatbot"])
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return {"status": "ok"}
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@app.get("/outputs")
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def _(webrtc_id: str):
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async def output_stream():
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async for output in stream.output_stream(webrtc_id):
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chatbot = output.args[0]
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yield f"event: output\ndata: {json.dumps(chatbot[-1])}\n\n"
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return StreamingResponse(output_stream(), media_type="text/event-stream")
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if __name__ == "__main__":
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import os
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if (mode := os.getenv("MODE")) == "UI":
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stream.ui.launch(server_port=7860)
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elif mode == "PHONE":
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stream.fastphone(host="0.0.0.0", port=7860)
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else:
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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546
demo/talk_to_claude/index.html
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546
demo/talk_to_claude/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>RetroChat Audio</title>
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<style>
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body {
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font-family: monospace;
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background-color: #1a1a1a;
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color: #00ff00;
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margin: 0;
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padding: 20px;
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height: 100vh;
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box-sizing: border-box;
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}
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.container {
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display: flex;
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flex-direction: column;
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gap: 20px;
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height: calc(100% - 100px);
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margin-bottom: 20px;
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}
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.chat-container {
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border: 2px solid #00ff00;
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padding: 20px;
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display: flex;
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flex-direction: column;
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flex-grow: 1;
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box-sizing: border-box;
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}
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.controls-container {
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border: 2px solid #00ff00;
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padding: 20px;
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display: flex;
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align-items: center;
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gap: 20px;
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height: 128px;
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box-sizing: border-box;
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}
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.visualization-container {
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flex-grow: 1;
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display: flex;
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align-items: center;
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}
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.box-container {
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display: flex;
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justify-content: space-between;
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height: 64px;
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width: 100%;
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}
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.box {
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height: 100%;
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width: 8px;
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background: #00ff00;
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border-radius: 8px;
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transition: transform 0.05s ease;
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}
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.chat-messages {
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flex-grow: 1;
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overflow-y: auto;
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margin-bottom: 20px;
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padding: 10px;
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border: 1px solid #00ff00;
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}
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.message {
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margin-bottom: 10px;
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padding: 8px;
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border-radius: 4px;
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}
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.message.user {
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background-color: #003300;
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}
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.message.assistant {
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background-color: #002200;
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}
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button {
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height: 64px;
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min-width: 120px;
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background-color: #000;
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color: #00ff00;
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border: 2px solid #00ff00;
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padding: 10px 20px;
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font-family: monospace;
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font-size: 16px;
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cursor: pointer;
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transition: all 0.3s;
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}
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button:hover {
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border-width: 3px;
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}
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#audio-output {
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display: none;
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}
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/* Retro CRT effect */
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.crt-overlay {
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position: absolute;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background: repeating-linear-gradient(0deg,
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rgba(0, 255, 0, 0.03),
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rgba(0, 255, 0, 0.03) 1px,
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transparent 1px,
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transparent 2px);
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pointer-events: none;
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}
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/* Add these new styles */
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.icon-with-spinner {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 12px;
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min-width: 180px;
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}
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.spinner {
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width: 20px;
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height: 20px;
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border: 2px solid #00ff00;
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border-top-color: transparent;
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border-radius: 50%;
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animation: spin 1s linear infinite;
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flex-shrink: 0;
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}
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@keyframes spin {
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to {
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transform: rotate(360deg);
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}
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}
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.pulse-container {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 12px;
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min-width: 180px;
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}
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.pulse-circle {
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width: 20px;
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height: 20px;
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border-radius: 50%;
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background-color: #00ff00;
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opacity: 0.2;
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flex-shrink: 0;
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transform: translateX(-0%) scale(var(--audio-level, 1));
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transition: transform 0.1s ease;
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}
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/* Add styles for typing indicator */
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.typing-indicator {
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padding: 8px;
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background-color: #002200;
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border-radius: 4px;
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margin-bottom: 10px;
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display: none;
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}
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.dots {
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display: inline-flex;
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gap: 4px;
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}
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.dot {
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width: 8px;
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height: 8px;
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background-color: #00ff00;
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border-radius: 50%;
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animation: pulse 1.5s infinite;
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opacity: 0.5;
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}
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.dot:nth-child(2) {
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animation-delay: 0.5s;
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}
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.dot:nth-child(3) {
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animation-delay: 1s;
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}
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@keyframes pulse {
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0%,
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100% {
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opacity: 0.5;
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transform: scale(1);
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}
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50% {
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opacity: 1;
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transform: scale(1.2);
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}
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}
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/* Add styles for toast notifications */
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.toast {
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position: fixed;
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top: 20px;
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left: 50%;
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transform: translateX(-50%);
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padding: 16px 24px;
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border-radius: 4px;
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font-size: 14px;
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z-index: 1000;
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display: none;
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box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);
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}
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.toast.error {
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background-color: #f44336;
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color: white;
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}
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.toast.warning {
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background-color: #ffd700;
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color: black;
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}
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</style>
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</head>
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<body>
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<!-- Add toast element after body opening tag -->
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<div id="error-toast" class="toast"></div>
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<div class="container">
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<div class="chat-container">
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<div class="chat-messages" id="chat-messages"></div>
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<!-- Move typing indicator outside the chat messages -->
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<div class="typing-indicator" id="typing-indicator">
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<div class="dots">
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<div class="dot"></div>
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<div class="dot"></div>
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<div class="dot"></div>
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</div>
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</div>
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</div>
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<div class="controls-container">
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<div class="visualization-container">
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<div class="box-container">
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<!-- Boxes will be dynamically added here -->
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</div>
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</div>
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<button id="start-button">Start</button>
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</div>
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</div>
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<audio id="audio-output"></audio>
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<script>
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let audioContext;
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let analyser_input, analyser_output;
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let dataArray_input, dataArray_output;
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let animationId_input, animationId_output;
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let chatHistory = [];
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let peerConnection;
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let webrtc_id;
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const audioOutput = document.getElementById('audio-output');
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const startButton = document.getElementById('start-button');
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const chatMessages = document.getElementById('chat-messages');
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function updateButtonState() {
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if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
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startButton.innerHTML = `
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<div class="icon-with-spinner">
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<div class="spinner"></div>
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<span>Connecting...</span>
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</div>
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`;
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} else if (peerConnection && peerConnection.connectionState === 'connected') {
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startButton.innerHTML = `
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<div class="pulse-container">
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<div class="pulse-circle"></div>
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<span>Stop</span>
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</div>
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`;
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} else {
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startButton.innerHTML = 'Start';
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}
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}
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function showError(message) {
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const toast = document.getElementById('error-toast');
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toast.textContent = message;
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toast.className = 'toast error';
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toast.style.display = 'block';
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// Hide toast after 5 seconds
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setTimeout(() => {
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toast.style.display = 'none';
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}, 5000);
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}
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async function setupWebRTC() {
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const config = __RTC_CONFIGURATION__;
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peerConnection = new RTCPeerConnection(config);
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const timeoutId = setTimeout(() => {
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const toast = document.getElementById('error-toast');
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toast.textContent = "Connection is taking longer than usual. Are you on a VPN?";
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toast.className = 'toast warning';
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toast.style.display = 'block';
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// Hide warning after 5 seconds
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setTimeout(() => {
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toast.style.display = 'none';
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}, 5000);
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}, 5000);
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try {
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const stream = await navigator.mediaDevices.getUserMedia({
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audio: true
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});
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// Set up input visualization
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audioContext = new AudioContext();
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analyser_input = audioContext.createAnalyser();
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const inputSource = audioContext.createMediaStreamSource(stream);
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inputSource.connect(analyser_input);
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analyser_input.fftSize = 64;
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dataArray_input = new Uint8Array(analyser_input.frequencyBinCount);
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function updateAudioLevel() {
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analyser_input.getByteFrequencyData(dataArray_input);
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const average = Array.from(dataArray_input).reduce((a, b) => a + b, 0) / dataArray_input.length;
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const audioLevel = average / 255;
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const pulseCircle = document.querySelector('.pulse-circle');
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if (pulseCircle) {
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pulseCircle.style.setProperty('--audio-level', 1 + audioLevel);
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}
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animationId_input = requestAnimationFrame(updateAudioLevel);
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}
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updateAudioLevel();
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stream.getTracks().forEach(track => {
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peerConnection.addTrack(track, stream);
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});
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// Add connection state change listener
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||||
peerConnection.addEventListener('connectionstatechange', () => {
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console.log('Connection state:', peerConnection.connectionState);
|
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if (peerConnection.connectionState === 'connected') {
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clearTimeout(timeoutId);
|
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const toast = document.getElementById('error-toast');
|
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toast.style.display = 'none';
|
||||
}
|
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updateButtonState();
|
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});
|
||||
|
||||
// Handle incoming audio
|
||||
peerConnection.addEventListener('track', (evt) => {
|
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if (audioOutput.srcObject !== evt.streams[0]) {
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||||
audioOutput.srcObject = evt.streams[0];
|
||||
audioOutput.play();
|
||||
|
||||
// Set up output visualization
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analyser_output = audioContext.createAnalyser();
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||||
const outputSource = audioContext.createMediaStreamSource(evt.streams[0]);
|
||||
outputSource.connect(analyser_output);
|
||||
analyser_output.fftSize = 2048;
|
||||
dataArray_output = new Uint8Array(analyser_output.frequencyBinCount);
|
||||
updateVisualization();
|
||||
}
|
||||
});
|
||||
|
||||
// Create data channel for messages
|
||||
const dataChannel = peerConnection.createDataChannel('text');
|
||||
dataChannel.onmessage = (event) => {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
const typingIndicator = document.getElementById('typing-indicator');
|
||||
|
||||
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: chatHistory
|
||||
})
|
||||
});
|
||||
} 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';
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// 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);
|
||||
}
|
||||
});
|
||||
|
||||
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 ${serverResponse.meta.limit}`
|
||||
: serverResponse.meta.error);
|
||||
stop();
|
||||
return;
|
||||
}
|
||||
|
||||
await peerConnection.setRemoteDescription(serverResponse);
|
||||
|
||||
// Start visualization
|
||||
updateVisualization();
|
||||
|
||||
// create event stream to receive messages from /output
|
||||
const eventSource = new EventSource('/outputs?webrtc_id=' + webrtc_id);
|
||||
eventSource.addEventListener("output", (event) => {
|
||||
const eventJson = JSON.parse(event.data);
|
||||
addMessage(eventJson.role, eventJson.content);
|
||||
});
|
||||
} catch (err) {
|
||||
clearTimeout(timeoutId);
|
||||
console.error('Error setting up WebRTC:', err);
|
||||
showError('Failed to establish connection. Please try again.');
|
||||
stop();
|
||||
}
|
||||
}
|
||||
|
||||
function addMessage(role, content) {
|
||||
const messageDiv = document.createElement('div');
|
||||
messageDiv.classList.add('message', role);
|
||||
messageDiv.textContent = content;
|
||||
chatMessages.appendChild(messageDiv);
|
||||
chatMessages.scrollTop = chatMessages.scrollHeight;
|
||||
chatHistory.push({ role, content });
|
||||
}
|
||||
|
||||
// Add this after other const declarations
|
||||
const boxContainer = document.querySelector('.box-container');
|
||||
const numBars = 32;
|
||||
for (let i = 0; i < numBars; i++) {
|
||||
const box = document.createElement('div');
|
||||
box.className = 'box';
|
||||
boxContainer.appendChild(box);
|
||||
}
|
||||
|
||||
// Replace the draw function with updateVisualization
|
||||
function updateVisualization() {
|
||||
animationId_output = requestAnimationFrame(updateVisualization);
|
||||
|
||||
analyser_output.getByteFrequencyData(dataArray_output);
|
||||
const bars = document.querySelectorAll('.box');
|
||||
|
||||
for (let i = 0; i < bars.length; i++) {
|
||||
const barHeight = (dataArray_output[i] / 255) * 2;
|
||||
bars[i].style.transform = `scaleY(${Math.max(0.1, barHeight)})`;
|
||||
}
|
||||
}
|
||||
|
||||
function stop() {
|
||||
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) sender.track.stop();
|
||||
});
|
||||
}
|
||||
|
||||
peerConnection.close();
|
||||
}
|
||||
|
||||
if (animationId_input) {
|
||||
cancelAnimationFrame(animationId_input);
|
||||
}
|
||||
if (animationId_output) {
|
||||
cancelAnimationFrame(animationId_output);
|
||||
}
|
||||
if (audioContext) {
|
||||
audioContext.close();
|
||||
}
|
||||
|
||||
updateButtonState();
|
||||
}
|
||||
|
||||
startButton.addEventListener('click', () => {
|
||||
if (startButton.textContent === 'Start') {
|
||||
setupWebRTC();
|
||||
} else {
|
||||
stop();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
6
demo/talk_to_claude/requirements.txt
Normal file
6
demo/talk_to_claude/requirements.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
fastrtc[vad, tts]
|
||||
elevenlabs
|
||||
groq
|
||||
anthropic
|
||||
twilio
|
||||
python-dotenv
|
||||
Reference in New Issue
Block a user