app.py

import os
import requests
import tempfile
import uvicorn
from fastapi import FastAPI, HTTPException, Query
from faster_whisper import WhisperModel

# 1. Inisialisasi FastAPI
app = FastAPI(title="Open Whisper API (No Limits)")

# 2. Inisialisasi Model (Base sudah cukup akurat dan cepat)
# Gunakan device="cuda" jika server punya GPU NVIDIA
model_size = "base"
print(f"Loading Whisper model '{model_size}'...")
model = WhisperModel(model_size, device="cpu", compute_type="int8")

@app.get("/")
def home():
    return {"status": "API Active", "usage": "/generate?url=YOUR_AUDIO_URL"}

@app.get("/generate")
async def generate_transcription(url: str = Query(..., description="URL file audio (mp3, wav, m4a, dll)")):
    """
    Menerima URL audio, mendownloadnya, dan mengembalikan teks hasil transkripsi.
    """
    tmp_path = None
    try:
        # 3. Download file dari URL ke folder temp
        suffix = ".wav" # Default suffix
        if "." in url:
            potential_ext = "." + url.split(".")[-1].split("?")[0]
            if len(potential_ext) <= 5: 
                suffix = potential_ext

        with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
            response = requests.get(url, stream=True, timeout=30)
            response.raise_for_status() # Cek jika download gagal
            
            for chunk in response.iter_content(chunk_size=8192):
                tmp.write(chunk)
            tmp_path = tmp.name

        # 4. Proses Transkripsi
        print(f"Processing: {url}")
        segments, info = model.transcribe(tmp_path, beam_size=5)

        full_text = " ".join([segment.text for segment in segments]).strip()

        # 5. Kembalikan Response JSON
        return {
            "success": True,
            "language": info.language,
            "language_probability": info.language_probability,
            "text": full_text,
            "url_processed": url
        }

    except requests.exceptions.RequestException as e:
        raise HTTPException(status_code=400, detail=f"Gagal mendownload file: {str(e)}")
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Internal Error: {str(e)}")
    
    finally:
        # 6. Bersihkan file sementara
        if tmp_path and os.path.exists(tmp_path):
            os.remove(tmp_path)

if __name__ == "__main__":
    # Jalankan server
    uvicorn.run(app, host="0.0.0.0", port=7860)