resolve gated repo issue

.gitignore

@@ -0,0 +1,2 @@
+#Ignore this .enc file
+.env

app.py

@@ -7,19 +7,23 @@ import os
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-token = os.getenv('HUGGINGFACE_TOKEN')
-model = pipeline("image-to-text", model="google/paligemma-3b-mix-448", use_auth_token=token)
+hf_token = os.getenv('HF_TOKEN')
+try:
+    model = pipeline("image-to-text", model="google/paligemma-3b-mix-448", use_auth_token=hf_token)
+except Exception as e:
+    st.error(f"Error loading image-to-text model: {e}")
+    st.stop()
 
 try:
-    model_colpali = ColPali.from_pretrained("vidore/colpali-v1.2", torch_dtype=torch.bfloat16).to(device)
-    processor_colpali = ColPaliProcessor.from_pretrained("google/paligemma-3b-mix-448")
+    model_colpali = ColPali.from_pretrained("vidore/colpali-v1.2", torch_dtype=torch.bfloat16, use_auth_token=hf_token).to(device)
+    processor_colpali = ColPaliProcessor.from_pretrained("google/paligemma-3b-mix-448", use_auth_token=hf_token)
 except Exception as e:
     st.error(f"Error loading ColPali model or processor: {e}")
     st.stop()
 
 try:
-    model_qwen = Qwen2VLForConditionalGeneration.from_pretrained("Qwen/Qwen2-VL-7B-Instruct").to(device)
-    processor_qwen = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-7B-Instruct")
+    model_qwen = Qwen2VLForConditionalGeneration.from_pretrained("Qwen/Qwen2-VL-7B-Instruct", use_auth_token=hf_token).to(device)
+    processor_qwen = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-7B-Instruct", use_auth_token=hf_token)
 except Exception as e:
     st.error(f"Error loading Qwen model or processor: {e}")
     st.stop()