Update app.py

app.py

@@ -114,7 +114,7 @@ def normalize_and_save_video(input_video_path, output_video_path):
 def run_inference(prompt, video_path, condition, video_length, seed):
 
     # Get FPS of original video input
-    target_fps = get_video_dimension(video_path)[2] 
+    target_fps = math.floor(get_video_dimension(video_path)[2]) 
     if target_fps > 12 :
         print(f"FPS is too high")
         target_fps = 12
@@ -171,9 +171,10 @@ with gr.Blocks(css=css) as demo:
                 video_path = gr.Video(source="upload", type="filepath", visible=True)
                 prompt = gr.Textbox(label="prompt")
                 with gr.Column():
-                    condition = gr.Dropdown(label="Condition", choices=["depth", "canny", "pose"], value="depth")
-                    video_length = gr.Slider(label="Video length", info="How many frames do you want to process ?", minimum=1, maximum=12, step=1, value=2)
-                    seed = gr.Number(label="seed", value=42)
+                    video_length = gr.Slider(label="Video length", info="How many frames do you want to process ? For demo purpose, max is set to 24", minimum=1, maximum=12, step=1, value=2)
+                    with gr.Row():
+                        condition = gr.Dropdown(label="Condition", choices=["depth", "canny", "pose"], value="depth")
+                        seed = gr.Number(label="seed", value=42)
                 submit_btn = gr.Button("Submit")
             with gr.Column():
                 video_res = gr.Video(label="result")