Update app.py

app.py

@@ -646,6 +646,28 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
         # Button to extract text from PDFs and perform sentiment analysis
         b1.click(fn=process_and_compare, inputs=[file1, sheet, file2, sheet], outputs=[result ,country_1_dropdown, country_2_dropdown])
         b2.click(fn=process_pdfs_and_analyze_sentiment, inputs=[file1, file2, sheet], outputs=[sentiment_results_pdf1, sentiment_results_pdf2])
-
+    with gr.Tab("Fed data analysis"):
+        gr.Markdown("## Sentiment Analysis Overview")
+        # Display DataFrame
+        df = pd.read("/data/2019_2024_minutes.csv")
+        df['Positive_ratio'] = df['Positive'] / df['Total_paragraphs']
+        df['Negative_ratio'] = df['Negative'] / df['Total_paragraphs']
+        df['Neutral_ratio'] = df['Neutral'] / df['Total_paragraphs']
+        data_table = gr.DataFrame(value=df, label="Sentiment Data")
+        def display_data_and_plot():
+            return df, df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio']]
+        # Line plot for the ratios
+        line_plot = gr.LinePlot(
+            value=df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio']],
+            x='Date',
+            y=['Positive_ratio', 'Negative_ratio', 'Neutral_ratio'],
+            title="Sentiment Ratios Over Time",
+            y_lim=[0, 1],  # Limit y-axis to 0-1 since it's a ratio
+            legend=["Positive Ratio", "Negative Ratio", "Neutral Ratio"]
+        )
+    
+        # 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()