Update app.py

app.py

@@ -49,24 +49,24 @@ def app_interface():
              #Dropdown to select company name
              company = gr.Dropdown(label="Select Company", choices=list(company_dict.keys()), value="Apple")
         
-            # Button to fetch and plot ESG data
-            plot_button = gr.Button("Generate ESG Plot")
+             #Button to fetch and plot ESG data
+             plot_button = gr.Button("Generate ESG Plot")
         
-           # LinePlot component for displaying the ESG data
-           line_plot = gr.LinePlot(label="ESG Scores Plot", x="ESG Category", y="Score", overlay_point=True)
+            # LinePlot component for displaying the ESG data
+             line_plot = gr.LinePlot(label="ESG Scores Plot", x="ESG Category", y="Score", overlay_point=True)
 
-           scatter_plot = gr.ScatterPlot(label="ESG Scores Scatter Plot", x="ESG Category", y="Score", overlay_point=True)
+             scatter_plot = gr.ScatterPlot(label="ESG Scores Scatter Plot", x="ESG Category", y="Score", overlay_point=True)
 
-           # Textbox to display messages
-           message = gr.Textbox(label="Message", interactive=False)
+             # Textbox to display messages
+             message = gr.Textbox(label="Message", interactive=False)
 
-           # File output for CSV download
-           csv_output = gr.File(label="Download CSV")
+             # File output for CSV download
+             csv_output = gr.File(label="Download CSV")
 
-          # Define the action when the "Generate ESG Plot" button is clicked
-          plot_button.click(fn=fetch_esg_data, 
-                            inputs=company, 
-                            outputs=[csv_output, line_plot, scatter_plot])
+            # Define the action when the "Generate ESG Plot" button is clicked
+             plot_button.click(fn=fetch_esg_data, 
+                              inputs=company, 
+                              outputs=[csv_output, line_plot, scatter_plot])
 
     return app