test gradio

app.py

@@ -3,6 +3,7 @@ from huggingface_hub import login
 import os
 import spaces,tempfile
 import torch
+
 from diffusers import AnimateDiffSparseControlNetPipeline
 from diffusers.models import AutoencoderKL, MotionAdapter, SparseControlNetModel
 from diffusers.schedulers import DPMSolverMultistepScheduler
@@ -121,7 +122,7 @@ This way, each frame represents a distinct scene, and there’s no redundancy be
         conditioning_frames=conditioning_frames,
         controlnet_frame_indices=controlnet_frame_indices,
         controlnet_conditioning_scale=float(controlnet_conditioning_scale),
-        num_frames=num_frames,
+        num_frames=int(num_frames)
     ).frames[0]
     export_to_gif(video, "output.gif")