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| from fastapi import FastAPI, File, UploadFile | |
| from fastapi.responses import FileResponse | |
| import os | |
| import shutil | |
| from modules.whisper.whisper_factory import WhisperFactory | |
| app = FastAPI() | |
| # Initialize Whisper inference engine | |
| whisper_inf = WhisperFactory.create_whisper_inference( | |
| whisper_type="faster-whisper", | |
| whisper_model_dir=os.path.join("models", "Whisper"), | |
| faster_whisper_model_dir=os.path.join("models", "Whisper", "faster-whisper"), | |
| insanely_fast_whisper_model_dir=os.path.join("models", "Whisper", "insanely-fast-whisper"), | |
| output_dir=os.path.join("outputs"), | |
| ) | |
| async def upload_video(file: UploadFile = File(...)): | |
| """ | |
| Upload a video file and get the generated SRT file as a response. | |
| """ | |
| # Save the uploaded video file temporarily | |
| input_video_path = os.path.join("temp", file.filename) | |
| os.makedirs("temp", exist_ok=True) | |
| with open(input_video_path, "wb") as buffer: | |
| shutil.copyfileobj(file.file, buffer) | |
| # Generate the subtitle file | |
| output_srt_path = whisper_inf.transcribe_file( | |
| input_video_path, | |
| file_format="SRT", | |
| add_timestamp=True | |
| ) | |
| # Return the SRT file as a response | |
| return FileResponse(path=output_srt_path, filename=os.path.basename(output_srt_path)) | |