Update app.py

app.py

@@ -1,5 +1,52 @@
 import gradio as gr
 my_theme = gr.Theme.from_hub("gradio/seafoam")
 
-with gr.Blocks(theme=my_theme) as demo:
-    print("theme")
+import gradio as gr
+import yfinance as yf
+import pandas as pd
+
+# Function to fetch ESG data and save it to a CSV file
+def fetch_and_save_esg_data(ticker):
+    # Fetch ESG data from Yahoo Finance
+    stock = yf.Ticker(ticker)
+    esg_data = stock.sustainability
+
+    # If the data is available, save it to a CSV file
+    if esg_data is not None:
+        # Convert the ESG data to a pandas DataFrame
+        esg_df = pd.DataFrame(esg_data)
+        
+        # Save it to a CSV file
+        filename = f"{ticker}_esg_data.csv"
+        esg_df.to_csv(filename)
+        
+        return f"ESG data for {ticker} saved to {filename}", filename
+    else:
+        return f"No ESG data available for {ticker}", None
+
+# List of companies (tickers) for dropdown selection
+company_list = ["AAPL", "GOOGL", "MSFT", "AMZN", "TSLA"]
+
+# Gradio interface with a dropdown for company selection
+def app_interface():
+    with gr.Blocks() as app:
+        # Dropdown to select company ticker
+        company = gr.Dropdown(label="Select Company", choices=company_list, value="AAPL")
+        
+        # Button to trigger ESG data extraction
+        fetch_button = gr.Button("Fetch ESG Data")
+        
+        # Output text and download link
+        output_text = gr.Textbox(label="Output")
+        download_link = gr.File(label="Download CSV")
+
+        # Define the action when the button is clicked
+        fetch_button.click(fn=fetch_and_save_esg_data, 
+                           inputs=company, 
+                           outputs=[output_text, download_link])
+
+    return app
+
+# Launch the Gradio app
+app = app_interface()
+app.launch()