Update app.py

app.py

@@ -21,7 +21,7 @@ def fetch_esg_data(company_name):
     esg_data = stock.sustainability
     
     # If ESG data is available, process it into a DataFrame
-    if esg_data is not None:
+    if esg_data is not None and not esg_data.empty:
         esg_df = pd.DataFrame(esg_data)
 
         # Extract only the relevant ESG scores and convert to a DataFrame
@@ -39,8 +39,7 @@ def fetch_esg_data(company_name):
 
         return plot_df, csv_filename  # Return the plot DataFrame and the CSV filename
     else:
-        # Return an empty DataFrame and None if no data is available
-        return pd.DataFrame(), None
+        return pd.DataFrame(), None  # Return empty DataFrame and None if no data is available
 
 # Gradio interface with a dropdown for company selection, line plot visualization, and CSV download
 def app_interface():
@@ -75,3 +74,4 @@ def app_interface():
 app = app_interface()
 app.launch()
 
+