fix video input

app.py

@@ -584,7 +584,7 @@ def ncut_run(
         progress(0.8, desc="Saving Video")
         video_path = get_random_path()
         video_cache.add_video(video_path)
-        pil_images_to_video(to_pil_images(rgb), video_path)
+        pil_images_to_video(to_pil_images(rgb), video_path, fps=5)
         return video_path, logging_str
     
     
@@ -982,8 +982,8 @@ def make_input_video_section():
     # gr.Markdown('### Input Video')
     input_gallery = gr.Video(value=None, label="Select video", elem_id="video-input", height="auto", show_share_button=False, interactive=True)
     gr.Markdown('_image backbone model is used to extract features from each frame, NCUT is computed on all frames_')
-    # max_frames_number = gr.Number(100, label="Max frames", elem_id="max_frames")
-    max_frames_number = gr.Slider(1, 200, step=1, label="Max frames", value=100, elem_id="max_frames")
+    max_frames_number = gr.Number(100, label="Max frames", elem_id="max_frames")
+    # max_frames_number = gr.Slider(1, 200, step=1, label="Max frames", value=100, elem_id="max_frames")
     submit_button = gr.Button("🔴 RUN", elem_id="submit_button", variant='primary')
     clear_images_button = gr.Button("🗑️Clear", elem_id='clear_button', variant='stop')
     return input_gallery, submit_button, clear_images_button, max_frames_number
@@ -1471,7 +1471,7 @@ with demo:
         submit_button.click(
             run_fn,
             inputs=[
-                input_gallery, model_dropdown, layer_slider, num_eig_slider, node_type_dropdown, 
+                video_input_gallery, model_dropdown, layer_slider, num_eig_slider, node_type_dropdown, 
                 positive_prompt, negative_prompt,
                 false_placeholder, no_prompt, no_prompt, no_prompt,
                 affinity_focal_gamma_slider, num_sample_ncut_slider, knn_ncut_slider,