Update app.py

app.py

@@ -330,8 +330,6 @@ elif page== "📊 Tabular Data":
         # Create a formatted string for `top_factors` to be shown in the UI
         top_factors = "\n".join([f"- {feat}: {round(value, 2)} impact" for feat, value in top_features])
     
-        # 🎭 **Streamlit UI**
-        import streamlit as st
         import time
         import random
         from textwrap import dedent
@@ -428,7 +426,6 @@ elif page == "📝 Clinical Text Notes":
         text = re.sub(r"[^\w\s.,:;*%()\[\]-]", "", text)
         return text.lower().strip()
 
-
     import re
 
     def extract_fields(text):
@@ -531,7 +528,7 @@ elif page == "📝 Clinical Text Notes":
         mlp_model_path = "/home/user/app/best_mlp_model_full.pth"
         pca_path = "/home/user/app/best_pca_model.pkl"
 
-        best_mlp_model = torch.load(mlp_model_path)
+        best_mlp_model = torch.load(mlp_model_path, weights_only=False)
         best_mlp_model.to(device)
         best_mlp_model.eval()