Update app.py

app.py

@@ -650,13 +650,13 @@ 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['Total_paragraphs']=df['Total_paragraphs']-df['Neutral']
         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[['Date', 'Positive_ratio', 'Negative_ratio', 'Neutral_ratio', 'Total_paragraphs']], label="Sentiment Data")
+        data_table = gr.DataFrame(value=df[['Date', 'Positive_ratio', 'Negative_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'],
+        melted_df = df.melt(id_vars='Date', value_vars=['Positive_ratio', 'Negative_ratio'],
                     var_name='Ratio_Type', value_name='Rate')
         # Line plot for the ratios
         line_plot = gr.LinePlot(