diff --git a/whisper_fastapi_online_server.py b/whisper_fastapi_online_server.py index 8a08381..f399fc4 100644 --- a/whisper_fastapi_online_server.py +++ b/whisper_fastapi_online_server.py @@ -10,7 +10,7 @@ from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.responses import HTMLResponse from fastapi.middleware.cors import CORSMiddleware -from whisper_streaming_custom.whisper_online import backend_factory, online_factory, add_shared_args +from whisper_streaming_custom.whisper_online import backend_factory, online_factory, add_shared_args,warmup_asr from timed_objects import ASRToken import math @@ -160,6 +160,7 @@ async def lifespan(app: FastAPI): global asr, tokenizer, diarization if args.transcription: asr, tokenizer = backend_factory(args) + warmup_asr(asr, args.warmup_file) else: asr, tokenizer = None, None diff --git a/whisper_streaming_custom/whisper_online.py b/whisper_streaming_custom/whisper_online.py index 147749f..ea52062 100644 --- a/whisper_streaming_custom/whisper_online.py +++ b/whisper_streaming_custom/whisper_online.py @@ -227,11 +227,34 @@ def asr_factory(args, logfile=sys.stderr): online = online_factory(args, asr, tokenizer, logfile=logfile) return asr, online -def set_logging(args, logger, others=[]): - logging.basicConfig(format="%(levelname)s\t%(message)s") # format='%(name)s - logger.setLevel(args.log_level) +def warmup_asr(asr, warmup_file=None): + """ + Warmup the ASR model by transcribing a short audio file. + """ + if warmup_file: + warmup_file = warmup_file + else: + # Download JFK sample if not already present + import tempfile + import os - for other in others: - logging.getLogger(other).setLevel(args.log_level) + + jfk_url = "https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav" + temp_dir = tempfile.gettempdir() + warmup_file = os.path.join(temp_dir, "whisper_warmup_jfk.wav") + + if not os.path.exists(warmup_file): + logger.debug(f"Downloading warmup file from {jfk_url}") + import urllib.request + urllib.request.urlretrieve(jfk_url, warmup_file) + # Load the warmup file + audio, sr = librosa.load(warmup_file, sr=16000) + + # Process the audio + asr.transcribe(audio) + + + logger.info("Whisper is warmed up") +