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import json | |
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_twilio_turn_credentials, | |
) | |
from gradio.utils import get_space | |
from groq import AsyncClient | |
cur_dir = Path(__file__).parent | |
load_dotenv() | |
groq_client = AsyncClient() | |
async def transcribe(audio: tuple[int, np.ndarray]): | |
transcript = await groq_client.audio.transcriptions.create( | |
file=("audio-file.mp3", audio_to_bytes(audio)), | |
model="whisper-large-v3-turbo", | |
response_format="verbose_json", | |
) | |
yield AdditionalOutputs(transcript.text) | |
stream = Stream( | |
ReplyOnPause(transcribe), | |
modality="audio", | |
mode="send", | |
additional_outputs=[ | |
gr.Textbox(label="Transcript"), | |
], | |
additional_outputs_handler=lambda a, b: a + " " + b, | |
rtc_configuration=get_twilio_turn_credentials() if get_space() else None, | |
concurrency_limit=5 if get_space() else None, | |
time_limit=90 if get_space() else None, | |
) | |
app = FastAPI() | |
stream.mount(app) | |
def _(webrtc_id: str): | |
async def output_stream(): | |
async for output in stream.output_stream(webrtc_id): | |
transcript = output.args[0] | |
yield f"event: output\ndata: {transcript}\n\n" | |
return StreamingResponse(output_stream(), media_type="text/event-stream") | |
def index(): | |
rtc_config = get_twilio_turn_credentials() if get_space() else None | |
html_content = (cur_dir / "index.html").read_text() | |
html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config)) | |
return HTMLResponse(content=html_content) | |
if __name__ == "__main__": | |
import os | |
if (mode := os.getenv("MODE")) == "UI": | |
stream.ui.launch(server_port=7860, server_name="0.0.0.0") | |
elif mode == "PHONE": | |
stream.fastphone(host="0.0.0.0", port=7860) | |
else: | |
import uvicorn | |
uvicorn.run(app, host="0.0.0.0", port=7860) | |