Update streamlit_app.py

appeler · Oct 23, 2023 · 255aa68 · 255aa68
1 parent 1e83e0b
commit 255aa68
Showing 1 changed file with 15 additions and 15 deletions.
diff --git a/streamlit/streamlit_app.py b/streamlit/streamlit_app.py
@@ -37,28 +37,28 @@ def app():
         df = pd.read_csv(uploaded_file)
         st.write("Data loaded successfully!")
 
-    if selected_function == "Append Electoral Roll Data to First Name": 
-        fname_col = st.selectbox("Select column with first name", df.columns)
-        state = st.selectbox("Select a state", ["andaman", "andhra", "arunachal", "assam",
+        if selected_function == "Append Electoral Roll Data to First Name": 
+            fname_col = st.selectbox("Select column with first name", df.columns)
+            state = st.selectbox("Select a state", ["andaman", "andhra", "arunachal", "assam",
                                                 "bihar", "chandigarh", "dadra", "daman", "delhi",
                                                 "goa", "gujarat", "haryana", "himachal", "jharkhand",
                                                 "jk", "karnataka", "kerala", "maharashtra", "manipur",
                                                 "meghalaya", "mizoram", "mp", "nagaland", "odisha",
                                                 "puducherry", "punjab", "rajasthan", "sikkim", "tripura",
                                                 "up", "uttarakhand"])
-        function = sidebar_options[selected_function]
-        if st.button('Run'):
-            transformed_df = function(df, namecol=fname_col, state = state)
-            st.dataframe(transformed_df)
-            download_file(transformed_df)
+            function = sidebar_options[selected_function]
+            if st.button('Run'):
+                transformed_df = function(df, namecol=fname_col, state = state)
+                st.dataframe(transformed_df)
+                download_file(transformed_df)
 
-    elif selected_function == "Predict Using the Model":
-        fname_col = st.selectbox("Select column with first name", df.columns)
-        function = sidebar_options[selected_function]
-        if st.button('Run'):
-            transformed_df = function(df, namecol=fname_col)
-            st.dataframe(transformed_df)
-            download_file(transformed_df)
+        elif selected_function == "Predict Using the Model":
+            fname_col = st.selectbox("Select column with first name", df.columns)
+            function = sidebar_options[selected_function]
+            if st.button('Run'):
+                transformed_df = function(df, namecol=fname_col)
+                st.dataframe(transformed_df)
+                download_file(transformed_df)
 
 # Run the app
 if __name__ == "__main__":