Update app.py

app.py

@@ -42,20 +42,17 @@ def fetch_esg_data(company_name):
         # Return an empty DataFrame and None if no data is available
         return pd.DataFrame(), None
 
-# Gradio interface with a dropdown for company selection, line plot, scatter plot visualization, and CSV download
+# Gradio interface with a dropdown for company selection, line plot visualization, and CSV download
 def app_interface():
     with gr.Blocks() as app:
         # 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 Plots")
+        plot_button = gr.Button("Generate ESG Plot")
         
         # LinePlot component for displaying the ESG data
-        line_plot_output = gr.LinePlot(label="ESG Scores Line Plot", x="ESG Category", y="Score", overlay_point=True)
-
-        # ScatterPlot component for displaying the ESG data
-        scatter_plot_output = gr.ScatterPlot(label="ESG Scores Scatter Plot", x="ESG Category", y="Score", overlay_point=True)
+        plot_output = gr.LinePlot(label="ESG Scores Plot", x="ESG Category", y="Score", overlay_point=True)
 
         # Textbox to display messages
         message = gr.Textbox(label="Message", interactive=False)
@@ -66,11 +63,10 @@ def app_interface():
         # Define the action when the "Generate ESG Plot" button is clicked
         plot_button.click(fn=fetch_esg_data, 
                           inputs=company, 
-                          outputs=[line_plot_output, scatter_plot_output, csv_output])
+                          outputs=[plot_output, csv_output])
 
     return app
 
 # Launch the Gradio app
 app = app_interface()
 app.launch()
-