mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-05 18:09:23 +08:00
5a4693ee0b
* Add auto errors * change code --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
import json
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from pathlib import Path
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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 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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audio_to_bytes,
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get_twilio_turn_credentials,
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)
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from gradio.utils import get_space
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from groq import AsyncClient
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cur_dir = Path(__file__).parent
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load_dotenv()
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groq_client = AsyncClient()
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async def transcribe(audio: tuple[int, np.ndarray]):
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transcript = await 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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)
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yield AdditionalOutputs(transcript.text)
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stream = Stream(
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ReplyOnPause(transcribe),
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modality="audio",
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mode="send",
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additional_outputs=[
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gr.Textbox(label="Transcript"),
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],
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additional_outputs_handler=lambda a, b: a + " " + b,
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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("/transcript")
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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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transcript = output.args[0]
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yield f"event: output\ndata: {transcript}\n\n"
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return StreamingResponse(output_stream(), media_type="text/event-stream")
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@app.get("/")
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def index():
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rtc_config = get_twilio_turn_credentials() if get_space() else None
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html_content = (cur_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)
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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, server_name="0.0.0.0")
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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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