Update app.py

app.py

@@ -866,14 +866,32 @@ with gr.Blocks(theme=gr.themes.Soft()) as iface:
                         step=1,
                         value=25,
                     )
-                    # Advanced options placeholder
-                    img2vid_advanced = gr.Group()  # Create advanced options later if needed
+                    # Replace `gr.Group` with actual advanced settings components
+                    img2vid_advanced_1 = gr.Slider(
+                        label="Guidance Scale",
+                        minimum=1,
+                        maximum=20,
+                        step=0.1,
+                        value=3.5,
+                    )
+                    img2vid_advanced_2 = gr.Slider(
+                        label="Inference Steps",
+                        minimum=20,
+                        maximum=100,
+                        step=1,
+                        value=40,
+                    )
                     img2vid_generate = gr.Button("Step 6: Generate Video", variant="primary", size="lg")
 
                 with gr.Column():
                     img2vid_output = gr.Video(label="Generated Output")
 
-    img2vid_preset.change(fn=preset_changed, inputs=[img2vid_preset], outputs=img2vid_advanced)
+    # Update `preset_changed` to only modify valid outputs
+    img2vid_preset.change(
+        fn=preset_changed,
+        inputs=[img2vid_preset],
+        outputs=[img2vid_advanced_1, img2vid_advanced_2],  # Only include valid output components
+    )
 
     img2vid_generate.click(
         fn=generate_video_from_image,
@@ -884,7 +902,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as iface:
             img2vid_analytics_toggle,
             img2vid_negative_prompt,
             img2vid_frame_rate,
-            img2vid_advanced,
+            img2vid_advanced_1,
+            img2vid_advanced_2,
         ],
         outputs=img2vid_output,
         concurrency_limit=1,
@@ -894,4 +913,3 @@ with gr.Blocks(theme=gr.themes.Soft()) as iface:
 
 if __name__ == "__main__":
     iface.queue(max_size=64, default_concurrency_limit=1, api_open=True).launch(share=True, show_api=True)
-