replace None

app.py

@@ -137,153 +137,157 @@ with stats_col4:
     st.caption("Industry: Email")
 #st.metric(label="Industry", value="Email")
 
-with st.empty().container():
-    input_text = st.text_area("Please enter your email text here: ", height=50)
-        
-    with st.expander('Please select your parameters: '):
-        with streamlit_analytics.track('test123'):
-            industry = st.selectbox(
-                'Please select your industry',
-                industry_lists,
-                index=6
-            )
-            
-            target = st.selectbox(
-                'Please select your target variable',
-                target_variables,
-                index=1
-            )
-
-            campaign = st.selectbox(
-                'Please select your campaign type',
-                campaign_types,
-                index=7
-            )
-
-            region = st.selectbox(
-                'Select your target region to generate the email with a more appropriate tone:',
-                region_variables,
-                index=1
-            )
-
-
-    with st.expander('Adjust your tone intensities for your preference: '):
-    #'Joyful', 'Confident', 'Urgent', 'Friendly', 'Optimistic', 'Analytical', 'Casual'
-        joyful_tone_value = st.slider(
-            'Joyful: ',
-            value = 0
+input_text = st.text_area("Please enter your email text here: ", height=50)
+    
+with st.expander('Please select your parameters: '):
+    with streamlit_analytics.track('test123'):
+        industry = st.selectbox(
+            'Please select your industry',
+            industry_lists,
+            index=6
         )
-        st.write('Joyful: ', joyful_tone_value)
-
-        confident_tone_value = st.slider(
-            'Confident: ',
-            value = 0
+        
+        target = st.selectbox(
+            'Please select your target variable',
+            target_variables,
+            index=1
         )
-        st.write('Confident: ', confident_tone_value)
 
-        urgent_tone_value = st.slider(
-            'Urgent: ',
-            value = 0
+        campaign = st.selectbox(
+            'Please select your campaign type',
+            campaign_types,
+            index=7
         )
-        st.write('Urgent: ', urgent_tone_value)
 
-        friendly_tone_value = st.slider(
-            'Friendly: ',
-            value = 0
+        region = st.selectbox(
+            'Select your target region to generate the email with a more appropriate tone:',
+            region_variables,
+            index=1
         )
-        st.write('Friendly: ', friendly_tone_value)
 
-        optimistic_tone_value = st.slider(
-            'Optimistic: ',
-            value = 0
-        )
-        st.write('Optimistic: ', optimistic_tone_value)
 
-        analytical_tone_value = st.slider(
-            'Analytical: ',
-            value = 0
-        )
-        st.write('Analytical: ', analytical_tone_value)
+with st.expander('Adjust your tone intensities for your preference: '):
+#'Joyful', 'Confident', 'Urgent', 'Friendly', 'Optimistic', 'Analytical', 'Casual'
+    joyful_tone_value = st.slider(
+        'Joyful: ',
+        value = 0
+    )
+    st.write('Joyful: ', joyful_tone_value)
+
+    confident_tone_value = st.slider(
+        'Confident: ',
+        value = 0
+    )
+    st.write('Confident: ', confident_tone_value)
+
+    urgent_tone_value = st.slider(
+        'Urgent: ',
+        value = 0
+    )
+    st.write('Urgent: ', urgent_tone_value)
+
+    friendly_tone_value = st.slider(
+        'Friendly: ',
+        value = 0
+    )
+    st.write('Friendly: ', friendly_tone_value)
+
+    optimistic_tone_value = st.slider(
+        'Optimistic: ',
+        value = 0
+    )
+    st.write('Optimistic: ', optimistic_tone_value)
+
+    analytical_tone_value = st.slider(
+        'Analytical: ',
+        value = 0
+    )
+    st.write('Analytical: ', analytical_tone_value)
+
+    casual_tone_value = st.slider(
+        'Casual: ',
+        value = 0
+    )
+    st.write('Casual: ', casual_tone_value)
+
+Loxz_recom_box = st.checkbox('Select Loxz Recommended Tones for Optimal Output')
+
+chart_position = st.empty()
+chart_position2 = st.empty()
+
+with chart_position.container():
+    None
+with chart_position2.container():
+    None
+if st.button('Generate Predictions'):
+
+    start_time = time.time() 
+    if input_text == "":
+        st.error('Please enter a sentence!')
+    else:
+        placeholder = st.empty()
+        placeholder.text('Loading Data...')
+        
+        # Starting predictions
+        bucket='emailcampaignmodeldata'
+        # file_key = 'fullEmailBody/fullemailtextbody_labeled_3rates_8tones_20220524.csv'
 
-        casual_tone_value = st.slider(
-            'Casual: ',
-            value = 0
+        # email_data = utils.get_files_from_aws(bucket,file_key)
+        tone_key = 'ModelSADataSets/Tone_and_target.csv'
+        tone_data = FunctionsModelSA_V1.load_data()
+        
+        test_predictions,tones = FunctionsModelSA_V1.convert_text_to_tone(input_text)
+
+        # st.dataframe(test_predictions)
+        # st.dataframe(tones)
+        campaign_val='campaign_type_'+ campaign
+        industry_val='industry_'+ industry
+        pred,lower,upper,model = FunctionsModelSA_V1.prediction(tones,campaign_val,industry_val,target)
+        worst_target,best_target,best_target_tones = FunctionsModelSA_V1.find_max_cat(tone_data,target,industry_val,campaign_val)
+        #best_target, best_target_tones
+        #FunctionsModelSA_V1.plot_CI(pred,lower,upper)
+        st.write('The Predicted Value is ' + str(pred))
+        fig1 = go.Figure(go.Bar(
+            name = 'Tone Levels',
+            x=[joyful_tone_value, confident_tone_value, urgent_tone_value, friendly_tone_value, optimistic_tone_value, analytical_tone_value, casual_tone_value],
+            y=['Joyful', 'Confident', 'Urgent', 'Friendly', 'Optimistic', 'Analytical', 'Casual'],
+            orientation='h')
         )
-        st.write('Casual: ', casual_tone_value)
-
-    Loxz_recom_box = st.checkbox('Select Loxz Recommended Tones for Optimal Output')
-
-    chart_position = st.empty()
-    with chart_position.container():
-        WHITE_SPACE(10)
-
-    if st.button('Generate Predictions'):
-        #with st.empty.container():
         with chart_position.container():
-            start_time = time.time() 
-            if input_text == "":
-                st.error('Please enter a sentence!')
-            else:
-                placeholder = st.empty()
-                placeholder.text('Loading Data...')
-
-                # Starting predictions
-                bucket='emailcampaignmodeldata'
-                # file_key = 'fullEmailBody/fullemailtextbody_labeled_3rates_8tones_20220524.csv'
-
-                # email_data = utils.get_files_from_aws(bucket,file_key)
-                tone_key = 'ModelSADataSets/Tone_and_target.csv'
-                tone_data = FunctionsModelSA_V1.load_data()
-                test_predictions,tones = FunctionsModelSA_V1.convert_text_to_tone(input_text)
-
-                # st.dataframe(test_predictions)
-                # st.dataframe(tones)
-                campaign_val='campaign_type_'+ campaign
-                industry_val='industry_'+ industry
-                pred,lower,upper,model = FunctionsModelSA_V1.prediction(tones,campaign_val,industry_val,target)
-                worst_target,best_target,best_target_tones = FunctionsModelSA_V1.find_max_cat(tone_data,target,industry_val,campaign_val)
-                #best_target, best_target_tones
-                #FunctionsModelSA_V1.plot_CI(pred,lower,upper)
-                st.write('The Predicted Value is ' + str(pred))
-                fig1 = go.Figure(go.Bar(
-                    name = 'Tone Levels',
-                    x=[joyful_tone_value, confident_tone_value, urgent_tone_value, friendly_tone_value, optimistic_tone_value, analytical_tone_value, casual_tone_value],
-                    y=['Joyful', 'Confident', 'Urgent', 'Friendly', 'Optimistic', 'Analytical', 'Casual'],
-                    orientation='h')
+            st.plotly_chart(fig1, use_container_width=True)
+
+        #if((best_target!=0) and (pred<best_target)):
+        if Loxz_recom_box == True:
+            recommended_changes=(best_target_tones)   
+            change=best_target-pred
+            #recommend(tones,recommended_changes,change,target)
+            with chart_position2.container():
+                fig2 = go.Figure()
+                fig2.add_trace(go.Bar(
+                    y=tone_labels,
+                    x=recommended_changes,
+                    name='Recommend changes',
+                    orientation='h',
+                    text=np.round(recommended_changes,3),
+                    width=.5,
+                    marker=dict(
+                    color='#e60f00',
+                    line=dict(color='rgba(58, 71, 80, 1.0)', width=1)))
                 )
-                st.plotly_chart(fig1, use_container_width=True)
-
-                #if((best_target!=0) and (pred<best_target)):
-                if Loxz_recom_box == True:
-                    recommended_changes=(best_target_tones)   
-                    change=best_target-pred
-                    #recommend(tones,recommended_changes,change,target)
-
-                    fig2 = go.Figure()
-                    fig2.add_trace(go.Bar(
-                        y=tone_labels,
-                        x=recommended_changes,
-                        name='Recommend changes',
-                        orientation='h',
-                        text=np.round(recommended_changes,3),
-                        width=.5,
-                        marker=dict(
-                        color='#e60f00',
-                        line=dict(color='rgba(58, 71, 80, 1.0)', width=1)))
-                    )
-                    fig2.update_traces(textfont_size=18, textposition="outside", cliponaxis=False)
-                    if target == 'Revenue_Per_Email':
-                        out = f"${round(change,2)}"
-                        st.write("The output will be between the range " + str(round(lower,2)) + ' and ' + str(round(upper,2)))
-                        st.write("The Predicted "+str(target) +" is "+ str(round(pred,2)))
-                    else:
-                        out = f"{round(change,2)*100}%"
-                        st.write("The output will be between the range " + str(round(lower,2) * 100) + ' and ' + str(round(upper,2) *100))
-                        st.write("The Predicted "+str(target) +" is "+ str(round(pred,2)*100))
-                    fig2.update_layout(title_text=f'The following Changes will yield a {out} increase in {target}')
-                    st.plotly_chart(fig2, use_container_width=True)
-                    #FunctionsModelSA_V1.corrections(best_target_tones,test_predictions))
-                    
-                    placeholder.empty()
+                fig2.update_traces(textfont_size=18, textposition="outside", cliponaxis=False)
+                if target == 'Revenue_Per_Email':
+                    out = f"${round(change,2)}"
+                    st.write("The output will be between the range " + str(round(lower,2)) + ' and ' + str(round(upper,2)))
+                    st.write("The Predicted "+str(target) +" is "+ str(round(pred,2)))
+                else:
+                    out = f"{round(change,2)*100}%"
+                    st.write("The output will be between the range " + str(round(lower,2) * 100) + ' and ' + str(round(upper,2) *100))
+                    st.write("The Predicted "+str(target) +" is "+ str(round(pred,2)*100))
+                fig2.update_layout(title_text=f'The following Changes will yield a {out} increase in {target}')
+                
+                st.plotly_chart(fig2, use_container_width=True)
+                #FunctionsModelSA_V1.corrections(best_target_tones,test_predictions))
+            
+        placeholder.empty()