Update app.py

app.py

@@ -28,10 +28,11 @@ def download_model():
     gdown.download(url, output, quiet=False)
     return output
 
-model_file = download_model()
+#model_file = download_model()
+download_model()
 
 # Load the model
-model = keras.saving.load_model(model_file)
+model = keras.saving.load_model("modelV2Lmixed.keras")
 
 # Perform image classification for single class output
 # def predict_class(image):