Update app.py

app.py

@@ -43,8 +43,6 @@ def predict(youtube_url_or_file_path, labels_text):
         video_path = download_youtube_video(youtube_url_or_file_path)
     else:
         video_path = youtube_url_or_file_path
-
-    # rearrange sampling rate based on video length and model input length
     num_total_frames = get_num_total_frames(video_path)
     num_model_input_frames = model.config.vision_config.num_frames
     if num_total_frames < FRAME_SAMPLING_RATE * num_model_input_frames:
@@ -62,7 +60,6 @@ def predict(youtube_url_or_file_path, labels_text):
     inputs = processor(
         text=labels, videos=list(frames), return_tensors="pt", padding=True
     )
-    # forward pass
     with torch.no_grad():
         outputs = model(**inputs)
 
@@ -115,15 +112,6 @@ with app:
         with gr.Column():
             predictions = gr.Label(label="Predictions:", show_label=True)
 
-    # gr.Markdown("**Examples:**")
-    # gr.Examples(
-    #     examples,
-    #     [youtube_url, youtube_url_labels_text],
-    #     [predictions, video_gif],
-    #     fn=predict,
-    #     cache_examples=True,
-    # )
-
     youtube_url_predict_btn.click(
         predict,
         inputs=[youtube_url, youtube_url_labels_text],