test gradio

app.py

@@ -108,7 +108,7 @@ This way, each frame represents a distinct scene, and there’s no redundancy be
     frames = ask_gpt(massage_history,return_str=False)['frames']
     conditioning_frames = []
     controlnet_frame_indices =[]
-    frames = frames[0]
+    frames = frames[0:1]
     for frame in frames:
         conditioning_frames.append(generate_image(frame['description'], reference_image, float(style_conditioning_scale)))
         controlnet_frame_indices.append(frame['frame_index'])