Update app.py

app.py

@@ -4,6 +4,7 @@ import os
 import pandas as pd
 from pandasai import SmartDataframe
 from pandasai.responses.response_parser import  ResponseParser
+from st_on_hover_tabs import on_hover_tabs
 
 class StreamLitResponse(ResponseParser):
         def __init__(self,context) -> None:
@@ -27,9 +28,12 @@ def generateResponse(dataFrame,prompt):
         return answer
 
 st.write("# Brave Retail Insights")
+st.markdown('<style>' + open('./style.css').read() + '</style>', unsafe_allow_html=True)
 st.write("##### Engage in insightful conversations with your data through powerful visualizations")
 with st.sidebar:
         st.title("Brave Retail Insights")
+        tabs = on_hover_tabs(tabName=['Chat', 'Reports'], 
+                         iconName=['chat', 'dashboard'], default_choice=0)
         
         # Added a divider
         st.divider()
@@ -40,16 +44,22 @@ with st.sidebar:
 
 uploaded_file = "bon_marche.csv"
 #uploaded_file = "healthcare_dataset.csv"
-if uploaded_file is not None:
+if tabs =='chat':
+    st.header("Brave Retail Chat")
+    st.write("Get visualizations and analysis from our Gemini powered agent")
+        
         # Read the CSV file
-        df = pd.read_csv(uploaded_file)
+    df = pd.read_csv(uploaded_file)
 
         # Display the data
-        with st.expander("Preview"):
-            st.write(df.head())
+    with st.expander("Preview"):
+        st.write(df.head())
 
         # Plot the data
-        user_input = st.text_input("Type your message here",placeholder="Ask me about your data")
-        if user_input:
-                answer = generateResponse(dataFrame=df,prompt=user_input)
-                st.write(answer)
+    user_input = st.text_input("Type your message here",placeholder="Ask me about your data")
+    if user_input:
+        answer = generateResponse(dataFrame=df,prompt=user_input)
+        st.write(answer)
+
+elif tabs == 'Reports':
+        st.header("Reports")