mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
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853d6a06b5
* Add code * add code * add code * Rename messages * rename * add code * Add demo * docs + demos + bug fixes * add code * styles * user guide * Styles * Add code * misc docs updates * print nit * whisper + pr * url for images * whsiper update * Fix bugs * remove demo files * version number * Fix pypi readme * Fix * demos * Add llama code editor * Update llama code editor and object detection cookbook * Add more cookbook demos * add code * Fix links for PR deploys * add code * Fix the install * add tts * TTS docs * Typo * Pending bubbles for reply on pause * Stream redesign (#63) * better error handling * Websocket error handling * add code --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local> * remove docs from dist * Some docs typos * more typos * upload changes + docs * docs * better phone * update docs * add code * Make demos better * fix docs + websocket start_up * remove mention of FastAPI app * fastphone tweaks * add code * ReplyOnStopWord fixes * Fix cookbook * Fix pypi readme * add code * bump versions * sambanova cookbook * Fix tags * Llm voice chat * kyutai tag * Add error message to all index.html * STT module uses Moonshine * Not required from typing extensions * fix llm voice chat * Add vpn warning * demo fixes * demos * Add more ui args and gemini audio-video * update cookbook * version 9 --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
import numpy as np
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from fastapi import FastAPI
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from fastapi.responses import RedirectResponse
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from fastrtc import ReplyOnPause, Stream, get_twilio_turn_credentials
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from gradio.utils import get_space
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def detection(audio: tuple[int, np.ndarray]):
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# Implement any iterator that yields audio
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# See "LLM Voice Chat" for a more complete example
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yield audio
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stream = Stream(
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handler=ReplyOnPause(detection),
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modality="audio",
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mode="send-receive",
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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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app = FastAPI()
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stream.mount(app)
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@app.get("/")
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async def index():
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return RedirectResponse(
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url="/ui" if not get_space() else "https://fastrtc-echo-audio.hf.space/ui/"
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)
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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(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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