update app

app.py

@@ -8,7 +8,6 @@ Author:
 """
 import os
 import cv2
-import imageio
 import gradio as gr
 import numpy as np
 
@@ -99,26 +98,16 @@ def sequence_prediction(path):
     preds = {}
     for i in np.argsort(probabilities)[::-1]:
         preds[class_vocab[i]] = float(probabilities[i])
-    gif = to_gif(frames)
-    return preds, gif
-
-
-def to_gif(images):
-    converted_images = images.astype(np.uint8)
-    imageio.mimsave("animation.gif", converted_images, fps=10)
-    return embed.embed_file(converted_images)
+    return preds
 
 
 article = article = "<div style='text-align: center;'><a href='https://github.com/ChainYo' target='_blank'>Space by Thomas Chaigneau</a><br><a href='https://keras.io/examples/vision/video_classification/' target='_blank'>Keras example by Sayak Paul</a></div>"
 app = gr.Interface(
     sequence_prediction,
     inputs=[gr.inputs.Video(label="Video", type="avi")],
-    outputs=[
-        gr.outputs.Label(label="Prediction", type="confidences"),
-        gr.outputs.Image(label="GIF", type="gif"),
-    ],
+    outputs=[gr.outputs.Label(label="Prediction", type="confidences")],
     title="Keras Video Classification CNN-RNN model",
     description="Keras Working Group",
     article=article,
-    # examples=samples
+    examples=samples
 ).launch(enable_queue=True)

requirements.txt

@@ -1,4 +1,3 @@
 opencv-python-headless
 tensorflow
 git+https://github.com/tensorflow/docs
-imageio