Upload app.py with huggingface_hub

app.py

@@ -47,28 +47,32 @@ def download_and_load_model():
     try:
         print("🔄 Downloading multimodal Gemma model from HF...")
 
-        # Download model checkpoint
+        # Download model checkpoint (using token if available)
         checkpoint_path = hf_hub_download(
             repo_id="sagar007/multimodal-gemma-270m-llava",
             filename="final_model.ckpt",
-            cache_dir="./model_cache"
+            cache_dir="./model_cache",
+            token=hf_token if 'hf_token' in locals() else None
         )
 
         # Download config files (same as local setup)
         model_config_path = hf_hub_download(
             repo_id="sagar007/multimodal-gemma-270m-llava",
             filename="configs/model_config.yaml",
-            cache_dir="./model_cache"
+            cache_dir="./model_cache",
+            token=hf_token if 'hf_token' in locals() else None
         )
         training_config_path = hf_hub_download(
             repo_id="sagar007/multimodal-gemma-270m-llava",
             filename="configs/training_config.yaml",
-            cache_dir="./model_cache"
+            cache_dir="./model_cache",
+            token=hf_token if 'hf_token' in locals() else None
         )
         data_config_path = hf_hub_download(
             repo_id="sagar007/multimodal-gemma-270m-llava",
             filename="configs/data_config.yaml",
-            cache_dir="./model_cache"
+            cache_dir="./model_cache",
+            token=hf_token if 'hf_token' in locals() else None
         )
 
         # Load configs exactly like local gradio_app.py