Update app.py

app.py

@@ -1,5 +1,15 @@
-import streamlit as st
+import appStore.target as target_extraction
+import appStore.netzero as netzero
+import appStore.sector as sector
+import appStore.adapmit as adapmit
+import appStore.ghg as ghg
+import appStore.policyaction as policyaction
+import appStore.conditional as conditional
+import appStore.indicator as indicator
+import appStore.doc_processing as processing
 from utils.uploadAndExample import add_upload
+from PIL import Image
+import streamlit as st
 
 ####################################### Dashboard ######################################################
 
@@ -43,22 +53,22 @@ with st.expander("ℹ️ - About this app", expanded=False):
         #image = Image.open('docStore/img/flow.jpg') 
         #st.image(image)
     #with c3:
-        st.write("""
-            What happens in the background?
+        #st.write("""
+        #    What happens in the 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.
+        #    - 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.
     
-            The Step 2 and 3 are repated then similarly for Action and  Policies & Plans.
-            """)
+        #    The Step 2 and 3 are repated then similarly for Action and  Policies & Plans.
+        #    """)
                   
-    st.write("")
+    #st.write("")
 
 
 apps = [processing.app, target_extraction.app, netzero.app, ghg.app,