Update app.py

app.py

@@ -155,28 +155,28 @@ elif tabs == 'Reports':
         filtered_df = df.copy()
     
     # Apply Branch Name Filter
-    if selected_branches:
-        filtered_df = filtered_df[filtered_df['Branch_Name'].isin(selected_branches)]
+        if selected_branches:
+            filtered_df = filtered_df[filtered_df['Branch_Name'].isin(selected_branches)]
     
     # Apply Description Filter
     #if selected_products:
        # filtered_df = filtered_df[filtered_df['Product_Name'].isin(selected_products)]
     
     # Display filtered DataFrame
-        st.write("Filtered DataFrame")
-        with st.expander("Preview"):
-            st.write(filtered_df)
-        prompt = """
+            st.write("Filtered DataFrame")
+            with st.expander("Preview"):
+                st.write(filtered_df)
+                prompt = """
 You are an expert business analyst. Analyze the following data and generate a comprehensive and insightful business report, including appropriate key perfomance indicators and reccomendations.
 
 data:
 """  +  str(calculate_kpis(filtered_df)) + str(get_pandas_profile(filtered_df))
 
-        response = model.generate_content(prompt)
-        report = response.text
-        st.markdown(report)
-    else:
-        st.write("Filtered DataFrame")
-        st.write("Click 'Apply Filters' to see the filtered data.")
+            response = model.generate_content(prompt)
+            report = response.text
+            st.markdown(report)
+        else:
+            st.write("Filtered DataFrame")
+            st.write("Click 'Apply Filters' to see the filtered data.")