temporarily remove peft layer in the gradio code

app.py

@@ -22,10 +22,10 @@ def load_model_once():
         
         # Load your trained PEFT adapters
         # Replace with your actual PEFT adapter path
-        model = PeftModel.from_pretrained(
-            base_model, 
-            "./path-to-your-adapter"  # Upload your wandb artifact files here
-        )
+        # model = PeftModel.from_pretrained(
+        #     base_model, 
+        #     "./path-to-your-adapter"  # Upload your wandb artifact files here
+        # )
     return model, tokenizer
 
 def summarize_text(text):