Update app.py

app.py

@@ -85,7 +85,7 @@ def preprocess_video_in(video_path):
     cap.release()
 
     # 'image' is the first frame extracted from video_in
-    return first_frame, gr.State([]), gr.State([]), first_frame, first_frame, output_dir, None, None
+    return first_frame, gr.State([]), gr.State([]), first_frame, first_frame, output_dir, None, None, gr.update(open=False)
 
 def get_point(point_type, tracking_points, trackings_input_label, first_frame_path, evt: gr.SelectData):
     print(f"You selected {evt.value} at {evt.index} from {evt.target}")
@@ -362,7 +362,7 @@ with gr.Blocks() as demo:
         with gr.Row():
             
             with gr.Column():
-                video_in = gr.Video(label="Video IN")
+                
                 
                 with gr.Row():
                     point_type = gr.Radio(label="point type", choices=["include", "exclude"], value="include", scale=2)
@@ -379,6 +379,9 @@ with gr.Blocks() as demo:
                 with gr.Row():
                     checkpoint = gr.Dropdown(label="Checkpoint", choices=["tiny", "small", "base-plus", "large"], value="tiny")
                     submit_btn = gr.Button("Submit", size="lg")
+
+                with gr.Accordion("Your video IN", open=True) as video_in_drawer:
+                    video_in = gr.Video(label="Video IN")
             
             with gr.Column():
                 output_result = gr.Image()
@@ -399,7 +402,7 @@ with gr.Blocks() as demo:
     video_in.upload(
         fn = preprocess_video_in, 
         inputs = [video_in], 
-        outputs = [first_frame_path, tracking_points, trackings_input_label, input_first_frame_image, points_map, video_frames_dir, stored_inference_state, stored_frame_names],
+        outputs = [first_frame_path, tracking_points, trackings_input_label, input_first_frame_image, points_map, video_frames_dir, stored_inference_state, stored_frame_names, video_in_drawer],
         queue = False
     )