Update app.py

app.py

@@ -4,23 +4,25 @@ from gradio_client import Client, handle_file
 def generate_video(input_image, prompt, negative_prompt, diffusion_step, height, width, scfg_scale, use_dctinit, dct_coefficients, noise_level, motion_bucket_id, seed):
     client = Client("maxin-cn/Cinemo")
     
-    result = client.predict(
-        input_image=handle_file(input_image),
-        prompt=prompt,
-        negative_prompt=negative_prompt,
-        diffusion_step=diffusion_step,
-        height=height,
-        width=width,
-        scfg_scale=scfg_scale,
-        use_dctinit=use_dctinit,
-        dct_coefficients=dct_coefficients,
-        noise_level=noise_level,
-        motion_bucket_id=motion_bucket_id,
-        seed=seed,
-        api_name="/gen_video"
-    )
-    
-    return result
+    try:
+        result = client.predict(
+            input_image=handle_file(input_image),
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            diffusion_step=diffusion_step,
+            height=height,
+            width=width,
+            scfg_scale=scfg_scale,
+            use_dctinit=use_dctinit,
+            dct_coefficients=dct_coefficients,
+            noise_level=noise_level,
+            motion_bucket_id=motion_bucket_id,
+            seed=seed,
+            api_name="/gen_video"
+        )
+        return result
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 # Define the Gradio interface
 with gr.Blocks() as demo:
@@ -46,5 +48,5 @@ with gr.Blocks() as demo:
 
     generate_btn.click(generate_video, inputs=[input_image, prompt, negative_prompt, diffusion_step, height, width, scfg_scale, use_dctinit, dct_coefficients, noise_level, motion_bucket_id, seed], outputs=output_video)
 
-# Launch the app
-demo.launch()
+# Launch the app with verbose error reporting
+demo.launch(show_error=True)