Update app.py

app.py

@@ -4,6 +4,9 @@ import streamlit as st
 import requests
 import pandas as pd
 from datetime import datetime
+from st_on_hover_tabs import on_hover_tabs
+import streamlit as st
+st.set_page_config(layout="wide")
 
 # Initialize Firebase app
 if not firebase_admin._apps:
@@ -54,6 +57,7 @@ def user_authentication():
 
 # Main Streamlit app
 def main():
+    st.markdown('<style>' + open('./style.css').read() + '</style>', unsafe_allow_html=True)
     if "user_id" not in st.session_state:
         user_authentication()
         return
@@ -70,34 +74,35 @@ def main():
     st.sidebar.title("E-complaint")
     st.sidebar.image("ecomp.png", use_column_width=True)
 
+    with st.sidebar:
+    tabs = on_hover_tabs(tabName=['Dashboard', 'Map', 'Chat'], 
+                         iconName=['dashboard', 'map', 'chat'], default_choice=0)
 
+    if tabs =='Dashboard':
+        st.title("Navigation Bar")
+        st.header("Complaints")
+    # Then query to list all users
+        complaints_ref = db.collection('complaints')
 
-    st.sidebar.subheader("Technology Stack")
-
-    st.sidebar.markdown("""
-    streamlit!!!!
-    """)
+        complaints_list = []
+        for doc in complaints_ref.stream():
+            a = doc.to_dict()
+            complaints_list.append(a)
 
-    st.sidebar.subheader("Architecture and Design")
+        complaints_df = pd.DataFrame(complaints_list)
 
-    st.sidebar.markdown("""
-  loggd in
-    """)
+        st.dataframe(complaints_df)
 
+    elif tabs == 'Map':
+        st.title("Map")
+        st.write('Name of option is {}'.format(tabs))
 
-# Display weekly and monthly summaries
-    st.header("Complaints")
-    # Then query to list all users
-    complaints_ref = db.collection('complaints')
+    elif tabs == 'Chat':
+        st.title("Chat Powered by Gemini")
+        st.write('Name of option is {}'.format(tabs))
 
-    complaints_list = []
-    for doc in complaints_ref.stream():
-        a = doc.to_dict()
-        complaints_list.append(a)
 
-    complaints_df = pd.DataFrame(complaints_list)
 
-    st.dataframe(complaints_df)