keep it all on HF - easy dict errors

app.py

@@ -166,22 +166,24 @@ def render_preview_video(state: dict, req: gr.Request) -> str:
     """
     if not state:
         print(f"[{req.session_hash}] render_preview_video called with empty state. Returning None.")
-        # Consider returning a placeholder or raising an error if state is required
         return None 
 
     user_dir = os.path.join(TMP_DIR, str(req.session_hash))
     os.makedirs(user_dir, exist_ok=True) # Ensure directory exists
     
-    print(f"[{req.session_hash}] Unpacking state for video rendering.") # Add logging
-    gs, mesh = unpack_state(state)
+    print(f"[{req.session_hash}] Unpacking state for video rendering.") 
+    # Only unpack gs, as mesh causes type errors with render_utils after unpacking
+    gs, _ = unpack_state(state) # We still need the mesh for GLB, but not for this video preview
     
-    print(f"[{req.session_hash}] Rendering video...") # Add logging
+    print(f"[{req.session_hash}] Rendering video (Gaussian only)...") 
+    # Render ONLY the Gaussian splats, as rendering the unpacked mesh fails
     video = render_utils.render_video(gs, num_frames=120)['color']
-    video_geo = render_utils.render_video(mesh, num_frames=120)['normal']
-    video = [np.concatenate([video[i], video_geo[i]], axis=1) for i in range(len(video))]
+    # REMOVED: video_geo = render_utils.render_video(mesh, num_frames=120)['normal']
+    # REMOVED: video = [np.concatenate([video[i], video_geo[i]], axis=1) for i in range(len(video))]
     
-    video_path = os.path.join(user_dir, 'preview_sample.mp4') # Use a distinct name
-    print(f"[{req.session_hash}] Saving video to {video_path}") # Add logging
+    video_path = os.path.join(user_dir, 'preview_sample.mp4') 
+    print(f"[{req.session_hash}] Saving video to {video_path}") 
+    # Save only the Gaussian render
     imageio.mimsave(video_path, video, fps=15)
     
     torch.cuda.empty_cache()