Upload prediction_compile.py

src/prediction_compile.py

@@ -119,10 +119,31 @@ def run():
     )
 
     with st.form(key='SQ-sentiment-analysis'):
+        date = st.date_input("Review Date")
+        platform = st.selectbox('Review Platform', ('Mobile', 'Desktop'), index=0)
+        rating = st.number_input('Rating', min_value=0, max_value=5, value=3, step=1)
+        st.markdown('---')
         text = st.text_input('Customer Review', value='--customer review--')
+        title = st.text_input('Review Title', value='--review title--')
+        vote = st.slider('Helpful Vote', min_value=0, max_value=200, value=50, step=1)
+        st.markdown('---')
         submitted = st.form_submit_button('Predict')
 
     if submitted:
+        st.markdown("---")
+        st.write("### Input Data")
+        data_inf = {
+            'published_date': date,
+            'published_platform': platform,
+            'rating': rating,
+            'type': 'Review',
+            'text': text,
+            'title': title,
+            'helpful_votes': vote
+        }
+        st.dataframe(pd.DataFrame([data_inf]))
+
+
         # Preprocess
         processed = text_preprocessing(text)
         seq = tokenizer.texts_to_sequences([processed])