Update app.py

app.py

@@ -33,33 +33,13 @@ import time
 
 
 
-pages = ["Home", "Tabular data", "Clinical text notes", "Ensemble prediction"]
-
-styles = {
-    "nav": {
-        "background-color": "rgba(0, 0, 0, 0.5)",
-        # Add 50% transparency
-    },
-    "div": {
-        "max-width": "32rem",
-    },
-    "span": {
-        "border-radius": "0.26rem",
-        "color": "rgb(255	,255,	255)",
-        "margin": "0 0.225rem",
-        "padding": "0.375rem 0.625rem",
-    },
-    "active": {
-        "background-color": "rgba(0	,0,	200, 0.95)",
-    },
-    "hover": {
-        "background-color": "rgba(255, 255, 255, 0.95)",
-    },
-}
-
-page = st_navbar(pages, styles=styles)
-
-if page=="Home":
+# Criar o menu na barra lateral
+st.sidebar.title("📌 Menu")
+page = st.sidebar.radio(
+    "Selecione uma opção:",
+    ["🏠 Home", "📊 Tabular Data", "📝 Clinical Text Notes", "🔀 Ensemble Prediction"]
+)
+if page=="🏠 Home":
    
     st.markdown("""
         <style>
@@ -92,7 +72,7 @@ if page=="Home":
     image_2 = 'https://med-tech.world/app/uploads/2024/10/AI-Hospitals.jpg.webp'
 
 
-    st.image(image_2, width=1350)  # Hospital Icon
+    st.image(image_2, width=1450)  # Hospital Icon
 
     st.write("This app helps predict patient readmission risk using machine learning models. "
             "Upload data, analyze clinical notes, and see predictions from our ensemble model.")
@@ -101,7 +81,7 @@ if page=="Home":
     st.markdown("---")
     st.markdown("<h3 style='text-align: center;'>🚀 Explore the App</h3>", unsafe_allow_html=True)
 
-elif page== "Tabular data":
+elif page== "📊 Tabular Data":
     
     # Function to load Lottie animation
     def load_lottie(url):
@@ -415,7 +395,7 @@ elif page== "Tabular data":
         # ✅ Render SHAP force plot in Streamlit
         components.html(shap_html, height=400)
                    
-elif page == "Clinical text notes":
+elif page == "📝 Clinical Text Notes":
     # Set Streamlit Page Title
     st.subheader("📝 Clinical Text Note")
 
@@ -781,7 +761,7 @@ elif page == "Clinical text notes":
                 </div>
             """, unsafe_allow_html=True)
 
-elif page == "Ensemble prediction":
+elif page == "🔀 Ensemble Prediction":
 
     # Load the ensemble model
     ensemble_model = joblib.load("/Users/joaopimenta/Downloads/best_ensemble_model.pkl")