Update streamlitapp.py

streamlitapp.py

@@ -44,7 +44,7 @@ if options:
         st.info('👀 This is all the machine learning model sees when making a prediction')
         video, annotations,image_data = load_data(tf.convert_to_tensor(file_path))
         # st.text(video.shape)
-        imageio.mimsave('animation.gif',np.squeeze((video * 100).astype(np.uint8)) , duration=100)
+        imageio.mimsave('animation.gif',np.squeeze((video * 50).astype(np.uint8)) , duration=100)
         st.image('animation.gif', width=400) 
 
         st.info('This is the output of the machine learning model as tokens')