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| import gradio as gr | |
| import whisper | |
| from fastapi import FastAPI, UploadFile, File | |
| from fastapi.responses import JSONResponse | |
| import tempfile | |
| import os | |
| # Load the Whisper model once | |
| model = whisper.load_model("base") # You can change this to "tiny", "small", "medium", "large" | |
| # FastAPI app | |
| app = FastAPI() | |
| # API endpoint: POST /api/transcribe | |
| async def transcribe_audio(file: UploadFile = File(...)): | |
| try: | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp: | |
| tmp.write(await file.read()) | |
| temp_path = tmp.name | |
| result = model.transcribe(temp_path) | |
| text = result.get("text", "") | |
| os.remove(temp_path) | |
| return {"transcript": text} | |
| except Exception as e: | |
| return JSONResponse(content={"error": str(e)}, status_code=500) | |
| # Gradio function | |
| def transcribe_from_ui(audio_file): | |
| if audio_file is None: | |
| return "Please upload an audio file." | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp: | |
| tmp.write(audio_file.read()) | |
| temp_path = tmp.name | |
| try: | |
| result = model.transcribe(temp_path) | |
| text = result.get("text", "") | |
| except Exception as e: | |
| text = f"Error: {str(e)}" | |
| finally: | |
| os.remove(temp_path) | |
| return text | |
| # Gradio UI | |
| interface = gr.Interface( | |
| fn=transcribe_from_ui, | |
| inputs=gr.File(label="Upload Audio File (MP3/WAV/OGG/etc)"), | |
| outputs=gr.Textbox(label="Transcript"), | |
| title="🎙️ Audio to Text Transcriber", | |
| description="Upload an audio file and get transcription using Whisper. No API key required." | |
| ) | |
| # Mount Gradio app at / | |
| app = gr.mount_gradio_app(app, interface, path="/") | |
| # Run with: uvicorn app:app --reload | |
| if __name__ == "__main__": | |
| import uvicorn | |
| uvicorn.run(app, host="0.0.0.0", port=7860) | |