add charts

.ipynb_checkpoints/app-checkpoint.py

@@ -14,8 +14,7 @@ if st.button('Click for predictions!'):
         topics_prob, sentiment_prob = get_single_prediction(feedback)
         
         bar = px.bar(topics_prob, x='probability', y='topic')
-        st.plotly_chart(bar, use_container_width=True)
-        
+                
         pie = px.pie(sentiment_prob, 
                values='probability', 
                names='sentiment', 
@@ -25,10 +24,9 @@ if st.button('Click for predictions!'):
                                   },
                color='sentiment'
               )
-        st.plotly_chart(pie, use_container_width=True)
-        
-        
-    #st.success(f'Your text has been predicted to fall under the following topics: {result[:-1]}. The sentiment of this text is {result[-1]}.')
+    st.plotly_chart(bar, use_container_width=True)
+    st.plotly_chart(pie, use_container_width=True)
+      
 
 st.write("\n")    
 st.subheader('Or... Upload a csv file if you have a file instead.')

app.py

@@ -14,8 +14,7 @@ if st.button('Click for predictions!'):
         topics_prob, sentiment_prob = get_single_prediction(feedback)
         
         bar = px.bar(topics_prob, x='probability', y='topic')
-        st.plotly_chart(bar, use_container_width=True)
-        
+                
         pie = px.pie(sentiment_prob, 
                values='probability', 
                names='sentiment', 
@@ -25,10 +24,9 @@ if st.button('Click for predictions!'):
                                   },
                color='sentiment'
               )
-        st.plotly_chart(pie, use_container_width=True)
-        
-        
-    #st.success(f'Your text has been predicted to fall under the following topics: {result[:-1]}. The sentiment of this text is {result[-1]}.')
+    st.plotly_chart(bar, use_container_width=True)
+    st.plotly_chart(pie, use_container_width=True)
+      
 
 st.write("\n")    
 st.subheader('Or... Upload a csv file if you have a file instead.')