Update app.py

app.py

@@ -650,20 +650,24 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
         gr.Markdown("## Sentiment Analysis Overview")
         # Display DataFrame
         df = pd.read_csv("data/2019_2024_minutes.csv", header = 0)
-        df['Positive_ratio'] = df['Positive'] / df['Total_paragraphs']
-        df['Negative_ratio'] = df['Negative'] / df['Total_paragraphs']
-        df['Neutral_ratio'] = df['Neutral'] / df['Total_paragraphs']
+        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():
-            return df, df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio']]
+            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'],
+                    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(
-            value=df[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio']],
             x='Date',
-            y=['Positive_ratio', 'Negative_ratio', 'Neutral_ratio'],
+            y='Value',
             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"]
+            color = 'Ratio_Type'
         )
     
         # Show table and plot