Update app.py

app.py

@@ -43,8 +43,48 @@ 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 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.
+    
+            The Step 2 and 3 are repated then similarly for Action and  Policies & Plans.
+            """)
+                  
+    st.write("")
+
+
+apps = [processing.app, target_extraction.app, netzero.app, ghg.app,
+        policyaction.app, conditional.app, sector.app, adapmit.app,indicator.app]
+
+multiplier_val =1/len(apps)
+if st.button("Analyze Document"):
+    prg = st.progress(0.0)
+    for i,func in enumerate(apps):
+        func()
+        prg.progress((i+1)*multiplier_val)
+
+    
+if 'key1' in st.session_state:
+    with st.sidebar:
+        topic = st.radio(
+                        "Which category you want to explore?",
+                        ('Target', 'Action', 'Policies/Plans'))
+    
+    if topic == 'Target':
+        target_extraction.target_display()
+    elif topic == 'Action':
+        policyaction.action_display()
+    else: 
+        policyaction.policy_display()
+    # st.write(st.session_state.key1)
 
 #st.title("Identify references to vulnerable groups.")