Update app.py

app.py

@@ -219,24 +219,23 @@ st.set_option('deprecation.showPyplotGlobalUse', False)
 # UI for CSV File Uploader
 uploaded_file = st.file_uploader("Choose a CSV file", type=['csv'])
 
+start_date = date(2022, 11, 6)
+available_dates = generate_available_dates(start_date)
+
+
 # Load the Uploaded CSV File
 if uploaded_file is not None:
-    df = pd.read_csv(uploaded_file)
+    st.session_state.df = pd.read_csv(uploaded_file)
     st.write('Uploaded CSV file:')
-    st.write(df)
-
-    # Generate available dates here
-    start_date = date(2022, 11, 6)
-    available_dates = generate_available_dates(start_date)
+    st.write(st.session_state.df)
 
-   # Generate Schedule using Uploaded Data
-if st.button("Generate Schedule"):
-    if uploaded_file is not None:
-        st.session_state.schedule_df = generate_schedule_from_data(df, available_dates)  # pass available_dates as argument
+    # Generate Schedule using Uploaded Data
+    if st.button("Generate Schedule"):
+        st.session_state.schedule_df = generate_schedule_from_data(st.session_state.df, available_dates)
         st.write('Generated Schedule:')
         st.write(st.session_state.schedule_df)
-    else:
-        st.warning("Please upload a CSV file to proceed.")
+else:
+    st.warning("Please upload a CSV file to proceed.")
 
 
 # Initialize session state for schedule_df and st.session_state.historical_data
@@ -300,30 +299,28 @@ else:
 
 if analytics_option == "Team Workload Analysis":
     st.subheader("Historical Data")
-    st.pyplot(team_workload_analysis(st.session_state.historical_data, df))
+    st.pyplot(team_workload_analysis(st.session_state.historical_data, st.session_state.df))
     st.subheader("Current Data")
-    st.pyplot(team_workload_analysis(st.session_state.schedule_df, df))
-
+    st.pyplot(team_workload_analysis(st.session_state.schedule_df, st.session_state.df))
 
 elif analytics_option == "Match Distribution":
     st.subheader("Historical Data")
-    st.pyplot(match_distribution(st.session_state.historical_data, df))
+    st.pyplot(match_distribution(st.session_state.historical_data, st.session_state.df))
     st.subheader("Current Data")
-    st.pyplot(match_distribution(st.session_state.schedule_df, df))
-
+    st.pyplot(match_distribution(st.session_state.schedule_df, st.session_state.df))
 
 elif analytics_option == "Inter-Conference Match Analysis":
     st.subheader("Historical Data")
-    st.pyplot(inter_conference_analysis(st.session_state.historical_data, df))
+    st.pyplot(inter_conference_analysis(st.session_state.historical_data, st.session_state.df))
     st.subheader("Current Data")
-    st.pyplot(inter_conference_analysis(st.session_state.schedule_df, df))
-
+    st.pyplot(inter_conference_analysis(st.session_state.schedule_df, st.session_state.df))
 
 elif analytics_option == "Commissioner Analytics":
     st.subheader("Historical Data")
-    st.pyplot(commissioner_analytics(st.session_state.historical_data, df, commissioners))
+    st.pyplot(commissioner_analytics(st.session_state.historical_data, st.session_state.df, commissioners))
     st.subheader("Current Data")
-    st.pyplot(commissioner_analytics(st.session_state.schedule_df, df, commissioners))
+    st.pyplot(commissioner_analytics(st.session_state.schedule_df, st.session_state.df, commissioners))
+
 
 else:
     st.warning("Please generate the schedule first before viewing analytics.")