added help tab

app.py

@@ -25,39 +25,55 @@ def perform_search(pname, keywords, num_results):
     rep_txt= generate_kyc_output(query, search_links, resp, start_time)
     return (rep_txt)
 
-# Streamlit app
-st.title("Adverse News Detection Assistant")
-
-# Input fields
-names_txt = st.text_input("Enter party name (or multiple names separated by ,)")
-plc_text = "laundering OR terrorist OR fraud OR corrupt OR criminal OR investigation OR prosecute OR evasion OR bribe OR sanction"
-keywords = st.text_input("Enter other search words:", value=plc_text)
-
-st.sidebar.markdown("## Controls")
-st.sidebar.markdown("Choose your **search** *parameters*")
-num_results = st.sidebar.slider("Choose the number of search results:", 5, 30, 20, 5)
-st.sidebar.markdown("## Model")
-st.sidebar.markdown("GPT v3.5")
-st.sidebar.markdown("## App")
-st.sidebar.markdown("v0.3")
-
-# Search button
-if st.button("Search"):
-    names = names_txt.split(",")
-    # Perform the search and display the results
-    if names and keywords:
-        search_results = ""
-        for name in names:
-            #print("trying for name {} \n".format(name))
-            search_results += perform_search(name, keywords, num_results)
-
-        html(f"<pre>{search_results}</pre>", height=200, scrolling=True)
-        st.download_button('Download Report',search_results)
-        try:
-            date_time = datetime.now()
-            save_to_s3(search_results,date_time )
-            print ("Completed processing for {} names: {} at {} \n".format(len(names), names_txt, str(date_time)))
-        except: 
-            print ("Completed processing with S3 write error for {} names: {} at {} \n".format(len(names),names_txt, str(date_time)))
-    else:
-        st.error("Please enter your name and search keywords before searching.")
+main_tab, help_tab = st.tabs(["Run the Bot", "Help"])
+
+with main_tab: 
+    # Streamlit app
+    st.title("Adverse News Detection Assistant")
+
+    # Input fields
+    names_txt = st.text_input("Enter party name (or multiple names separated by ,)")
+    plc_text = "laundering OR terrorist OR fraud OR corrupt OR criminal OR investigation OR prosecute OR evasion OR bribe OR sanction"
+    keywords = st.text_input("Enter other search words:", value=plc_text)
+
+    st.sidebar.markdown("## Controls")
+    st.sidebar.markdown("Choose your **search** *parameters*")
+    num_results = st.sidebar.slider("Choose the number of search results:", 5, 30, 20, 5)
+    st.sidebar.markdown("## Model")
+    st.sidebar.markdown("GPT v3.5")
+    st.sidebar.markdown("## App")
+    st.sidebar.markdown("v0.3")
+
+    # Search button
+    if st.button("Search"):
+        names = names_txt.split(",")
+        # Perform the search and display the results
+        if names and keywords:
+            search_results = ""
+            for name in names:
+                #print("trying for name {} \n".format(name))
+                search_results += perform_search(name, keywords, num_results)
+
+            html(f"<pre>{search_results}</pre>", height=200, scrolling=True)
+            st.download_button('Download Report',search_results)
+            try:
+                date_time = datetime.now()
+                save_to_s3(search_results,date_time )
+                print ("Completed processing for {} names: {} at {} \n".format(len(names), names_txt, str(date_time)))
+            except: 
+                print ("Completed processing with S3 write error for {} names: {} at {} \n".format(len(names),names_txt, str(date_time)))
+        else:
+            st.error("Please enter your name and search keywords before searching.")
+
+with help_tab:
+    st.title("FAQ")
+    
+    st.markdown("Q. How do I get a count of number of adverse news?")
+    st.markdown("A. This functionality isnt implemented yet. A workaround is to manually count the number of links with adverse news")
+
+    st.markdown("Q. How do I summarise all the adverse news?")
+    st.markdown("A. This functionality isnt implemented yet. A workaround is to aggregate the summary of all adverse news items manually, and get a sumary from ChatGPT (chat.openai.com")
+
+    st.markdown("Q. Can I search in other lauguages?")
+    st.markdown("A. This functionality isnt implemented yet. We are planning to test this feature out with Chinese first")
+