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(), gr.update(maximum=frame_count)
+    return gr.update(visible=False), gr.update(visible=True), gr.update(maximum=frame_count)
 
 def get_video_dimension(filepath):
     video = cv2.VideoCapture(filepath)
@@ -165,7 +165,8 @@ with gr.Blocks(css=css) as demo:
         """)
         with gr.Row():
             with gr.Column():
-                video_path = gr.Video(source="upload", type="filepath")
+                video_in = gr.Video(source="upload", type="filepath", visible=True)
+                video_path = gr.Video(source="upload", type="filepath", visible=False)
                 prompt = gr.Textbox(label="prompt")
                 with gr.Row():
                     condition = gr.Dropdown(label="Condition", choices=["depth", "canny", "pose"], value="depth")
@@ -175,9 +176,9 @@ 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=resize_video,
+    video_in.change(fn=resize_video,
                       inputs=[video_path],
-                      outputs=[video_path, video_length]
+                      outputs=[video_in, video_path, video_length]
                      )
     submit_btn.click(fn=run_inference, 
                      inputs=[prompt,