Update app.py

app.py

@@ -141,9 +141,9 @@ def run_inference(prompt, video_path, condition, video_length, seed, steps):
 
     print(f"RUNNING INFERENCE ...")
     if video_length > 12:
-        command = f"python inference.py --prompt '{prompt}' --inference_steps {steps} --condition '{condition}' --video_path '{normalized}' --output_path '{output_path}' --temp_chunk_path 'result' --width 512 --height 512 --fps {target_fps} --seed {seed} --video_length {video_length} --smoother_steps 10 12 --is_long_video"
+        command = f"python inference.py --prompt '{prompt}' --inference_steps {steps} --condition '{condition}' --video_path '{normalized}' --output_path '{output_path}' --temp_chunk_path 'result' --width 512 --height 512 --fps {target_fps} --seed {seed} --video_length {video_length} --smoother_steps [19, 20] --is_long_video"
     else:
-        command = f"python inference.py --prompt '{prompt}' --inference_steps {steps} --condition '{condition}' --video_path '{normalized}' --output_path '{output_path}' --temp_chunk_path 'result'  --width 512 --height 512 --fps {target_fps} --seed {seed} --video_length {video_length} --smoother_steps 19 20"
+        command = f"python inference.py --prompt '{prompt}' --inference_steps {steps} --condition '{condition}' --video_path '{normalized}' --output_path '{output_path}' --temp_chunk_path 'result'  --width 512 --height 512 --fps {target_fps} --seed {seed} --video_length {video_length} --smoother_steps [19, 20]"
     try:
         subprocess.run(command, shell=True)
     
@@ -157,7 +157,7 @@ def run_inference(prompt, video_path, condition, video_length, seed, steps):
     
         print(f"FINISHED !")
         return "done", 'resized_final.mp4'
-    except:
+    except RuntimeError:
         return "error", None
 
  
@@ -180,7 +180,7 @@ with gr.Blocks(css=css) as demo:
                     with gr.Row():
                         condition = gr.Dropdown(label="Condition", choices=["depth", "canny", "pose"], value="depth")
                         seed = gr.Number(label="seed", value=42)
-                    inference_steps = gr.Slider(label="Inference steps", minimum=12, maximum=50, step=1, value=25)
+                    inference_steps = gr.Slider(label="Inference steps", minimum=25, maximum=50, step=1, value=25)
                 submit_btn = gr.Button("Submit")
             with gr.Column():
                 video_res = gr.Video(label="result")