Update app.py

app.py

@@ -38,8 +38,7 @@ def transcribe(audio):
     sr, y = audio
     y = y.astype(np.float32)
     y /= np.max(np.abs(y))
-    # model = whisper.load_model("base")  # or "small", "medium", "large", depending on your requirement
-    
+    model = whisper.load_model("base")  # or "small", "medium", "large", depending on your requirement
     temp_filename = "temp_audio.wav"
     write(temp_filename, sr, (y * 32767).astype(np.int16))
     result = model.transcribe(temp_filename)