Update app.py

app.py

@@ -85,19 +85,6 @@ def load_model(model_type):
         
         model.eval()
         return model, tokenizer
-    
-    except Exception as e:
-        # Fallback to base model if PEFT loading fails
-        st.warning(f"Error loading PEFT model: {str(e)}. Falling back to base model.")
-        if model_type == "summarize":
-            model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn")
-            tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn")
-        else:
-            model = AutoModelForSeq2SeqLM.from_pretrained("GanjinZero/biobart-base")
-            tokenizer = AutoTokenizer.from_pretrained("GanjinZero/biobart-base")
-        
-        model.eval()
-        return model, tokenizer
 
 @st.cache_data
 def process_excel(uploaded_file):