Update app.py

app.py

@@ -136,12 +136,12 @@ def show_violin_plot(df):
 
 def generate_streamlit_app_code(app_title, app_subtitle, side_panel_title, analysis_tasks, requirements):
     # Generate Python code for the Streamlit app
-    # Here we make sure the analysis functions are correctly indented at the same level as the main function
+    # Ensure analysis functions are correctly indented at the same level as the main function
     analysis_functions_code = "\n    ".join([PREDEFINED_ANALYSIS[task]['Code'].replace("\n", "\n    ") for task in analysis_tasks])
-    # Here we ensure that calls to analysis functions are correctly indented within the main function
-    analysis_tasks_code = "\n        if not df.empty:\n" + "\n".join([f"            {PREDEFINED_ANALYSIS[task]['Function']}(df)" for task in analysis_tasks])
+    # Ensure calls to analysis functions are correctly indented within the main function and only executed if df is not empty
+    analysis_tasks_code = "    if not df.empty:\n" + "\n".join([f"        {PREDEFINED_ANALYSIS[task]['Function']}(df)" for task in analysis_tasks])
     
-    # The exception handling block has been removed as per your request
+    # Generate the full code for the Streamlit app
     code = f"""import streamlit as st
 import pandas as pd
 import seaborn as sns
@@ -155,23 +155,20 @@ def main():
     st.sidebar.title("{side_panel_title}")
 
     uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
-
     df = pd.DataFrame()  # Initialize an empty DataFrame
 
     if uploaded_file is not None:
-        @st.cache_data  # Correct the caching decorator
+        @st.cache  # Use the correct caching decorator
         def load_data(uploaded_file):
             return pd.read_csv(uploaded_file)
-
         df = load_data(uploaded_file)
 
 {analysis_functions_code}
-        
-        # Analysis task calls, only executed if df is not empty
+
+    # Analysis task calls, only executed if df is not empty
 {analysis_tasks_code}
 
-if __name__ == "__main__":
-    main()
+main()  # Call the main function to run the app
 """
     return code