UI fix

app.py

@@ -23,30 +23,30 @@ with st.container():
         st.markdown("<h2 style='text-align: center; color: black;'> Climate Policy Intelligence App </h2>", unsafe_allow_html=True)
         st.write(' ')
 
-# with st.expander("ℹ️ - About this app", expanded=False):
-#     st.write(
-#         """
-#         Climate Policy Understanding App is an open-source\
-#         digital tool which aims to assist policy analysts and \
-#         other users in extracting and filtering relevant \
-#         information from public documents.
-
-#         What Happens in background?
-
-#         - Step 1: Once the document is provided to app, it undergoes *Pre-processing*.\
-#         In this step the document is broken into smaller paragraphs \
-#         (based on word/sentence count).
-#         - Step 2: The paragraphs are fed to **Target Classifier** which detects if
-#         the paragraph contains any *Target* related information or not.
-#         - Step 3: The paragraphs which are detected containing some target \
-#         related information are then fed to multiple classifier to enrich the 
-#         Information Extraction.
-
-#         Classifiers
-#         - Netzero: 
+with st.expander("ℹ️ - About this app", expanded=False):
+    st.write(
+        """
+        Climate Policy Understanding App is an open-source\
+        digital tool which aims to assist policy analysts and \
+        other users in extracting and filtering relevant \
+        information from public documents.
+
+        What Happens in background?
+
+        - Step 1: Once the document is provided to app, it undergoes *Pre-processing*.\
+        In this step the document is broken into smaller paragraphs \
+        (based on word/sentence count).
+        - Step 2: The paragraphs are fed to **Target Classifier** which detects if
+        the paragraph contains any *Target* related information or not.
+        - Step 3: The paragraphs which are detected containing some target \
+        related information are then fed to multiple classifier to enrich the 
+        Information Extraction.
+
+        Classifiers
+        - Netzero: 
                
-#         """)
-#     st.write("")
+        """)
+    st.write("")
 apps = [processing.app, target_extraction.app, netzero.app, ghg.app,
         sector.app, adapmit.app]
 multiplier_val =1/len(apps)
@@ -57,5 +57,5 @@ if st.button("Get the work done"):
         prg.progress((i+1)*multiplier_val)
 
     if 'key1' in st.session_state:
-        # target_extraction.target_display()
+        target_extraction.target_display()
         st.write(st.session_state.key1)