Fix error having no button

app.py

@@ -180,31 +180,31 @@ with st.form("article-inpu"):
     article_text = st.text_area(
         #label='Enter the comment you want to classify below (in Dutch):')
         value = st.session_state.article_text)
-        #_, rightmost_col = st.columns([6,1])
-        #submitted = rightmost_col.form_submit_button("Classify",
-                                                 #help="Classify comment")
+    _, rightmost_col = st.columns([6,1])
+    get_summary = rightmost_col.form_submit_button("Generate summary",
+                                                 help="Generate summary for the given article text")
 
 # Listener
-# if submitted:
-#     if text:
-#         with st.spinner('Analysing comment...'):
-#             classify_comment(text, selected_model)
-#     else:
-#         st.error('**Error**: No comment to classify. Please provide a comment.')
-#
-# # Results
-# if 'results' in st.session_state and st.session_state.results:
-#     first = True
-#     for result in st.session_state.results[::-1]:
-#         if not first:
-#             st.markdown("---")
-#         st.markdown(f"Text:\n> {result['text']}")
-#         col_1, col_2, col_3 = st.columns([1,2,2])
-#         col_1.metric(label='', value=f"{result['emoji']}")
-#         col_2.metric(label='Label', value=f"{result['label']}")
-#         col_3.metric(label='Score', value=f"{result['score']:.3f}")
-#         st.markdown(f"Token Attribution:\n{result['tokens_with_background']}",
-#          unsafe_allow_html=True)
-#         st.caption(f"Model: {result['model_name']}")
-#         first = False
+if get_summary:
+    if article_text:
+        with st.spinner('Analysing comment...'):
+            #classify_comment(article_text, selected_model)
+    else:
+        st.error('**Error**: No comment to classify. Please provide a comment.')
+
+# Results
+if 'results' in st.session_state and st.session_state.results:
+    first = True
+    for result in st.session_state.results[::-1]:
+        if not first:
+            st.markdown("---")
+        st.markdown(f"Text:\n> {result['text']}")
+        col_1, col_2, col_3 = st.columns([1,2,2])
+        col_1.metric(label='', value=f"{result['emoji']}")
+        col_2.metric(label='Label', value=f"{result['label']}")
+        col_3.metric(label='Score', value=f"{result['score']:.3f}")
+        st.markdown(f"Token Attribution:\n{result['tokens_with_background']}",
+         unsafe_allow_html=True)
+        st.caption(f"Model: {result['model_name']}")
+        first = False