Update app.py

app.py

@@ -27,7 +27,7 @@ def get_frame_count_in_duration(filepath):
     width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
     height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
     video.release()
-    return gr.update(maximum=frame_count)
+    return gr.update(), gr.update(maximum=frame_count)
 
 def get_video_dimension(filepath):
     video = cv2.VideoCapture(filepath)
@@ -72,9 +72,9 @@ def resize_video(input_file):
 
     
     #final_video_resized = os.path.join(temp_output_path, 'video_resized.mp4')
-    test_w, test_h, fps = get_video_dimension('video_resized.mp4')
+    test_w, test_h, fps, frame_count = get_video_dimension('video_resized.mp4')
     print(f"resized clip dims : {test_w}, {test_h}, {fps}")
-    return 'video_resized.mp4'
+    return 'video_resized.mp4', gr.update(maximum=frame_count)
         
 def run_inference(prompt, video_path, condition, video_length):
 
@@ -174,10 +174,10 @@ with gr.Blocks(css=css) as demo:
             with gr.Column():
                 video_res = gr.Video(label="result")
                 status = gr.Textbox(label="result")
-    video_path.change(fn=get_frame_count_in_duration,
+    video_path.change(fn=resize_video,
                       inputs=[video_path],
-                      outputs=[video_length]
-                     ).then(fn=resize_video, inputs=[video_path], outputs=[video_path])
+                      outputs=[video_path, video_length]
+                     )
     submit_btn.click(fn=run_inference, 
                      inputs=[prompt,
                              video_path,