Merge pull request #43 from QuentinFuxa/load-the-model-just-once
Browse files- whisper_fastapi_online_server.py +29 -80
whisper_fastapi_online_server.py
CHANGED
@@ -4,6 +4,7 @@ import asyncio
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import numpy as np
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import ffmpeg
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from time import time
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse
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@@ -12,73 +13,7 @@ from fastapi.middleware.cors import CORSMiddleware
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from src.whisper_streaming.whisper_online import backend_factory, online_factory, add_shared_args
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import logging.config
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def setup_logging():
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logging_config = {
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'version': 1,
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'disable_existing_loggers': False,
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'formatters': {
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'standard': {
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'format': '%(asctime)s %(levelname)s [%(name)s]: %(message)s',
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},
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},
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'handlers': {
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'console': {
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'level': 'INFO',
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'class': 'logging.StreamHandler',
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'formatter': 'standard',
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},
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},
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'root': {
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'handlers': ['console'],
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'level': 'DEBUG',
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},
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'loggers': {
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'uvicorn': {
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'handlers': ['console'],
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'level': 'INFO',
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'propagate': False,
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},
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'uvicorn.error': {
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'level': 'INFO',
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},
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'uvicorn.access': {
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'level': 'INFO',
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},
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'src.whisper_streaming.online_asr': { # Add your specific module here
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'handlers': ['console'],
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'level': 'DEBUG',
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'propagate': False,
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},
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'src.whisper_streaming.whisper_streaming': { # Add your specific module here
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'handlers': ['console'],
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'level': 'DEBUG',
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'propagate': False,
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},
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},
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}
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logging.config.dictConfig(logging_config)
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setup_logging()
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logger = logging.getLogger(__name__)
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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parser = argparse.ArgumentParser(description="Whisper FastAPI Online Server")
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parser.add_argument(
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@@ -108,28 +43,37 @@ parser.add_argument(
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add_shared_args(parser)
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args = parser.parse_args()
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if args.diarization:
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from src.diarization.diarization_online import DiartDiarization
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with open("src/web/live_transcription.html", "r", encoding="utf-8") as f:
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html = f.read()
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@
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async def
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SAMPLE_RATE = 16000
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CHANNELS = 1
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SAMPLES_PER_SEC = SAMPLE_RATE * int(args.min_chunk_size)
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BYTES_PER_SAMPLE = 2 # s16le = 2 bytes per sample
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BYTES_PER_SEC = SAMPLES_PER_SEC * BYTES_PER_SAMPLE
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async def start_ffmpeg_decoder():
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"""
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@@ -150,6 +94,11 @@ async def start_ffmpeg_decoder():
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return process
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@app.websocket("/asr")
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async def websocket_endpoint(websocket: WebSocket):
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import numpy as np
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import ffmpeg
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from time import time
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from contextlib import asynccontextmanager
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse
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from src.whisper_streaming.whisper_online import backend_factory, online_factory, add_shared_args
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##### LOAD ARGS #####
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parser = argparse.ArgumentParser(description="Whisper FastAPI Online Server")
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parser.add_argument(
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add_shared_args(parser)
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args = parser.parse_args()
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SAMPLE_RATE = 16000
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CHANNELS = 1
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SAMPLES_PER_SEC = SAMPLE_RATE * int(args.min_chunk_size)
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BYTES_PER_SAMPLE = 2 # s16le = 2 bytes per sample
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BYTES_PER_SEC = SAMPLES_PER_SEC * BYTES_PER_SAMPLE
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if args.diarization:
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from src.diarization.diarization_online import DiartDiarization
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##### LOAD APP #####
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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global asr, tokenizer
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asr, tokenizer = backend_factory(args)
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yield
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app = FastAPI(lifespan=lifespan)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Load demo HTML for the root endpoint
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with open("src/web/live_transcription.html", "r", encoding="utf-8") as f:
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html = f.read()
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async def start_ffmpeg_decoder():
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"""
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return process
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##### ENDPOINTS #####
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@app.get("/")
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async def get():
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return HTMLResponse(html)
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@app.websocket("/asr")
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async def websocket_endpoint(websocket: WebSocket):
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