fix: prevent setting torch bridge in preprocess_video for numpy compatibility

model.py

@@ -120,13 +120,14 @@ def _pad_or_trim(frames: list, clip_length: int) -> list:
 
 
 def preprocess_video(video_bytes: bytes, clip_length: int = CLIP_LENGTH) -> torch.Tensor:
-    set_bridge("torch")
+    # Don't set torch bridge — keep numpy so .asnumpy() works
     vr    = VideoReader(io.BytesIO(video_bytes))
     total = len(vr)
     idx   = list(range(min(total, clip_length)))
     if len(idx) < clip_length:
         idx += [idx[-1]] * (clip_length - len(idx))
-    batch  = vr.get_batch(idx).asnumpy()
+
+    batch  = vr.get_batch(idx).asnumpy()          # numpy (T, H, W, C)
     frames = [batch[i] for i in range(batch.shape[0])]
     return _frames_to_tensor(frames)