contained

app.py

@@ -80,23 +80,6 @@ def WHITE_SPACE(lines):
     for x in range(lines):
         st.write(' ')
 
-st.markdown("#### Sentiment Analysis: Email Industry v1.2")
-
-stats_col1, stats_col2, stats_col3, stats_col4 = st.columns([1,1,1,1])
-
-with stats_col1:
-    st.caption("Verified: Production")
-    #st.metric(label="Verified", value= "Production")
-with stats_col2:
-    st.caption("Accuracy: 85%")
-    #st.metric(label="Accuracy", value= "85%")
-with stats_col3:
-    st.caption("Speed: 3.86 ms")
-    #st.metric(label="Speed", value="3.86 ms")
-
-with stats_col4:
-    st.caption("Industry: Email")
-    #st.metric(label="Industry", value="Email")
 
 with st.sidebar:
 
@@ -135,9 +118,27 @@ target_variables = ['Conversion_Rate','Click_To_Open_Rate','Revenue_Per_Email']
 
 region_variables = ['Africa', 'America', 'Asia', 'Europe', 'Oceania']
 
-input_text = st.text_area("Please enter your email text here: ", height=50)
-
 with st.empty().container():
+
+    st.markdown("#### Sentiment Analysis: Email Industry v1.2")
+
+    stats_col1, stats_col2, stats_col3, stats_col4 = st.columns([1,1,1,1])
+
+    with stats_col1:
+        st.caption("Verified: Production")
+        #st.metric(label="Verified", value= "Production")
+    with stats_col2:
+        st.caption("Accuracy: 85%")
+        #st.metric(label="Accuracy", value= "85%")
+    with stats_col3:
+        st.caption("Speed: 3.86 ms")
+        #st.metric(label="Speed", value="3.86 ms")
+
+    with stats_col4:
+        st.caption("Industry: Email")
+    #st.metric(label="Industry", value="Email")
+
+    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'):
@@ -280,3 +281,4 @@ with st.empty().container():
             placeholder.empty()
 
     WHITE_SPACE(10)
+WHITE_SPACE(10)