updated app.py to use the peft adapter from huggingface's model repo

app.py

@@ -20,12 +20,10 @@ def load_model_once():
             device_map="auto"
         )
         
-        # 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, 
+            "reydeuss/trustify-t5-adapter",
+        )
     return model, tokenizer
 
 def summarize_text(text):