Enhance logging in load_model function

app.py

@@ -29,7 +29,7 @@ def load_model():
         tokenizer = AutoTokenizer.from_pretrained(
             model_path,
             trust_remote_code=True,
-            use_auth_token=HF_API_TOKEN  # Use token for private models
+            use_auth_token=HF_API_TOKEN
         )
         st.write("Loading model...")
         model = AutoModelForCausalLM.from_pretrained(
@@ -37,7 +37,7 @@ def load_model():
             device_map="auto",
             torch_dtype=torch.float16,
             trust_remote_code=True,
-            use_auth_token=HF_API_TOKEN  # Use token for private models
+            use_auth_token=HF_API_TOKEN
         ).eval()
         st.write("Loading PEFT adapter...")
         model.load_adapter(peft_model_path)