Update app.py

app.py

@@ -26,7 +26,7 @@ def sentiment_pie_chart(df):
 
     # Create a pie chart
     fig, ax = plt.subplots()
-    sentiment_counts.plot(kind='pie', autopct='%1.1f%%', color=['green', 'red'])
+    sentiment_counts.plot(kind='pie', autopct='%1.1f%%', labels=None, colors=['green', 'red'])
     ax.set_title('Review Sentiment Chart')
 
     return fig
@@ -42,6 +42,8 @@ def read_reviews_and_analyze_sentiment(file_object):
 
     # Apply the get_sentiment function to each review in the DataFrame
     df['Sentiment'] = df['Reviews'].apply(sentiment_analyzer)
+    df = df[['Sentiment'] + [col for col in df.columns if col != 'Sentiment']]
+    
     chart_object = sentiment_pie_chart(df)
     return df, chart_object
 
@@ -52,6 +54,6 @@ demo = gr.Interface(fn=read_reviews_and_analyze_sentiment,
                     inputs=[gr.File(file_types=["xlsx"], label="Upload your reviews file")],
                     outputs=[gr.Dataframe(label="Sentiments"), gr.Plot(label="Sentiment Analysis")],
                     title="Sentiment Analyzer",
-                    description="Analyze the sentiment based on file uploaded (Excel file .xlsx must contain a 'Reviews' column)")
+                    description="Analyze the sentiment based on reviews (Excel file .xlsx must contain a 'Reviews' column)")
 demo.launch()