Update app.py

app.py

@@ -72,7 +72,6 @@ repo_dir = snapshot_download(
 # The fine-tuned model is located in "fine_tuned_llama3" inside the Space
 fine_tuned_model_path = os.path.join(repo_dir, "fine_tuned_llama3")
 
-
 adapter_config_path = os.path.join(fine_tuned_model_path, "adapter_config.json")
 
 if not os.path.exists(adapter_config_path):
@@ -91,23 +90,18 @@ print("Files in Model Directory:", os.listdir(fine_tuned_model_path))
 sys.path.append(repo_dir)
 
 # Load the base model
-base_model = AutoModelForCausalLM.from_pretrained(
-    "meta-llama/Meta-Llama-3-8B",
-    token=HF_TOKEN_LLAMA
-)
-
-# Load fine-tuned adapter (PEFT)
-fine_tuned_model = PeftModel.from_pretrained(base_model, fine_tuned_model_path)
-
-# Load tokenizer
-tokenizer = AutoTokenizer.from_pretrained(fine_tuned_model_path)
-
-print("Fine-tuned model loaded successfully!")
-
-
+# base_model = AutoModelForCausalLM.from_pretrained(
+#     "meta-llama/Meta-Llama-3-8B",
+#     token=HF_TOKEN_LLAMA
+# )
 
+# # Load fine-tuned adapter (PEFT)
+# fine_tuned_model = PeftModel.from_pretrained(base_model, fine_tuned_model_path)
 
+# # Load tokenizer
+# tokenizer = AutoTokenizer.from_pretrained(fine_tuned_model_path)
 
+# print("Fine-tuned model loaded successfully!")
 
 
 # Download specific files (if snapshot_download wasn't used)