Update app.py

app.py

@@ -21,7 +21,8 @@ FT_MODEL_NAME = "Meta-Llama-3.1-8B-text-to-sql"
 DATASET_NAME = "gretelai/synthetic_text_to_sql"
 
 def process(action, base_model_name, ft_model_name, dataset_name, system_prompt, user_prompt, sql_context):
-    #raise gr.Error("Please clone and bring your own credentials.")
+    raise gr.Error("Please clone and bring your own credentials.")
+    
     if action == ACTION_1:
         result = prompt_model(base_model_name, system_prompt, user_prompt, sql_context)
     elif action == ACTION_2:
@@ -135,7 +136,7 @@ def load_model(model_name):
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     tokenizer.pad_token = tokenizer.eos_token
 
-    # PEFT: LoRA & QLoRA https://huggingface.co/blog/mlabonne/sft-llama3
+    # TODO: PEFT, LoRA & QLoRA https://huggingface.co/blog/mlabonne/sft-llama3
 
     return model, tokenizer