Update app.py

app.py

@@ -13,11 +13,11 @@ uploaded_img = st.file_uploader("Upload your file here...",type=['png', 'jpeg',
 if uploaded_img is not None:
     st.image(uploaded_img)
     img = Image.open(uploaded_img)
+    print(img.mode)
     resized_img = img.resize((160,160))
+    print(img.mode)
     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)