Update app.py

app.py

@@ -109,20 +109,25 @@ if st.button("Scrape Reviews"):
             for i, label in enumerate(predicted_labels):
                 results.append({'Review Number': i + 1, 'Sentiment': model.config.id2label[label.item()]})
             sentiment_df = pd.DataFrame(results)
+
+            
             value_counts1 = sentiment_df['Sentiment'].value_counts().rename_axis('Sentiment').reset_index(name='count')
             final_df = value_counts1
-            fig1 = px.pie(final_df, values='count', names='Sentiment', hover_data=['count'], labels={'count': 'count'})
-            fig1.update_traces(textposition='inside', textinfo='percent+label')
-            st.plotly_chart(fig1)
+
+            tab1, tab2 = st.tabs(["Cat", "Dog"])
+            with tab1:
+                fig1 = px.pie(final_df, values='count', names='Sentiment', hover_data=['count'], labels={'count': 'count'})
+                fig1.update_traces(textposition='inside', textinfo='percent+label')
+                st.plotly_chart(fig1)
             
 
             result = pd.concat([df, sentiment_df], axis=1)
             st.dataframe(result)
 
             
-            fig2 = px.bar(result, x="Sentiment", y="comment_date", color="Sentiment")
-         
-            st.plotly_chart(fig2)
+            with tab2:
+                fig2 = px.bar(result, x="Sentiment", y="comment_date", color="Sentiment")
+                st.plotly_chart(fig2)
 
             csv = result.to_csv(index=False)
             st.download_button(