Update app.py

app.py

@@ -653,25 +653,19 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
         df['Positive_ratio'] = df['Positive'] / df['Total_paragraphs']*100
         df['Negative_ratio'] = df['Negative'] / df['Total_paragraphs']*100
         df['Neutral_ratio'] = df['Neutral'] / df['Total_paragraphs']*100
-        data_table = gr.DataFrame(value=df, label="Sentiment Data")
-        def display_data_and_plot():
-            global df
-            df['Date'] = pd.to_datetime(df['Date'])  # Ensure 'Date' is a datetime object
-            # Pivot the DataFrame
-            melted_df = df.melt(id_vars='Date', value_vars=['Positive_ratio', 'Negative_ratio', 'Neutral_ratio'],
+        data_table = gr.DataFrame(value=df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio', 'Total_paragraphs']], label="Sentiment Data")
+        df['Date'] = pd.to_datetime(df['Date'])  # Ensure 'Date' is a datetime object
+        # Pivot the DataFrame
+        melted_df = df.melt(id_vars='Date', value_vars=['Positive_ratio', 'Negative_ratio', 'Neutral_ratio'],
                     var_name='Ratio_Type', value_name='Rate')
-            return df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio', 'Total_paragraphs']], melted_df[['Date', 'Rate', 'Ratio_Type']]
         # Line plot for the ratios
         line_plot = gr.LinePlot(
+            melted_df
             x='Date',
             y='Value',
             title="Sentiment Ratios Over Time",
             y_lim=[0, 1],  # Limit y-axis to 0-1 since it's a ratio
             color = 'Ratio_Type'
         )
-    
-        # Show table and plot
-        display_data_and_plot_btn = gr.Button("Display Data and Plot")
-        display_data_and_plot_btn.click(fn=display_data_and_plot, outputs=[data_table, line_plot])
 
 demo.launch()