Create app.py

app.py

@@ -0,0 +1,40 @@
+from fastapi import FastAPI, UploadFile, File
+from pywhispercpp.model import Model
+import uvicorn
+import tempfile
+import os
+from time import time
+
+app = FastAPI(title="pyWhisperCPP API")
+
+# Load model ONCE at startup
+#MODEL_PATH = "ggml-tiny.en.bin"
+#model = Model(MODEL_PATH)
+model = Model('base.en')
+
+@app.get("/")
+def root():
+    return {"status": "Whisper.cpp API is running!"}
+
+@app.post("/transcribe")
+async def transcribe(file: UploadFile = File(...)):
+    # Save uploaded audio
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp:
+        temp.write(await file.read())
+        temp.flush()
+        audio_path = temp.name
+
+    start = time()
+    segments = model.transcribe(audio_path)
+    text = " ".join([seg.text for seg in segments])
+    elapsed = round(time() - start, 3)
+
+    os.remove(audio_path)
+
+    return {
+        "text": text,
+        "processing_time_seconds": elapsed
+    }
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)