debug

my_app.py

@@ -32,7 +32,9 @@ def predict(model_selection, image):
     model = model1 if model_selection == "EfficentNetB0 Fine Tune" else model2
 
     image = preprocess(image)
+    print("image", image)
     prediction = model.predict(image)
+    print("model prediction", prediction)
     predicted_class = classes[int(tf.argmax(prediction, axis=1))]
     confidence = tf.reduce_max(prediction).numpy()
     return predicted_class, confidence