Update app.py

app.py

@@ -215,7 +215,7 @@ model = i3CLIPHybridLarge(tokenizer.vocab_size).to(device)
 
 # Load checkpoint from FlameF0X/i3-CLIP
 print("Downloading and loading model weights...")
-checkpoint_path = hf_hub_download(repo_id="FlameF0X/i3-CLIP", filename="pytorch_model.bin")
+checkpoint_path = hf_hub_download(repo_id="i3-lab/i3-CLIP", filename="pytorch_model.bin")
 state_dict = torch.load(checkpoint_path, map_location=device)
 model.load_state_dict(state_dict, strict=False)
 model.eval()