Create app.py

app.py

@@ -0,0 +1,27 @@
+import whisper
+import tempfile
+import os
+from fastapi import FastAPI, UploadFile, File, Form
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+
+app = FastAPI(title="Whisper Transcription API")
+model = whisper.load_model("base")  # Ganti 'large-v3' kalau GPU
+
+app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
+
+@app.post("/transcribe")
+async def transcribe(file: UploadFile = File(...), language: str = Form(default="auto")):
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
+        content = await file.read()
+        tmp.write(content)
+        tmp_path = tmp.name
+    try:
+        result = model.transcribe(tmp_path, language=language if language != "auto" else None)
+        return JSONResponse({"text": result["text"], "language": result.get("language", "unknown")})
+    finally:
+        os.unlink(tmp_path)
+
+@app.get("/health")
+async def health():
+    return {"status": "ok", "model": "whisper-base"}