Update app.py

app.py

@@ -15,8 +15,11 @@ if uploaded_img is not None:
     img = Image.open(uploaded_img)
     resized_img = img.resize((160,160))
     input_arr = keras.preprocessing.image.img_to_array(resized_img)
+    print(input_arr.shape)
     input_arr = np.array([input_arr])
+    print(input_arr.shape)
     input_arr = input_arr.astype('float32') / 255.
+    print(input_arr.shape)
     result = loaded_model.predict(input_arr)
     st.write(f"Your prediction is: {result}")