Add sheets as a database for storing user conversation (#12)

- Add sheets as a database for storing user conversation (26fddab8b21e6529998afbe5e8dbb2a1ee665af0)


Co-authored-by: Anand <[email protected]>

app.py

@@ -2,9 +2,9 @@ import requests
 import streamlit as st
 import time
 
-st.title("Rasa Chatbot Interface")
+st.title("Omdena Chatbot Interface")
 
-# Change api url to yours here
+# Edit API url here
 url = 'https://omdena-lc-omdena-ng-lagos-chatbot-model.hf.space'
 
 # Initialize chat history
@@ -32,11 +32,9 @@ if user_input := st.chat_input("What is up?"):
     # Extract assistant response
     if bot_reply !=[]:
         assistant_response = bot_reply[0]["text"]
-    # Handle empty api responses
     else:
         assistant_response = 'API request returned with an empty list []. Please continue with a different question'
 
-
     # Display assistant response in chat message container
     with st.chat_message("assistant"):
         message_placeholder = st.empty()
@@ -51,8 +49,24 @@ if user_input := st.chat_input("What is up?"):
     
     # Add assistant response to chat history
     st.session_state.messages.append({"role": "assistant", "content": full_response})
-
-    # Add debug button to display RASA version, Model Name
+    
+    # Save to google sheet
+    # Deployed web app URL for writing google sheets
+    webhook_url = "https://script.google.com/macros/s/AKfycbzhikyq7IduuEPGmrvcmJV9YlziiVyBysQ_oYf7lOzF8w9zg--BI2S_5cLuftp0pKqy/exec"
+    action = "?action=addData"
+    # Data to send 
+    data = {
+    "user": user_input,
+    "bot": assistant_response
+           }
+    try:
+        # Send POST request to the webhook URL
+        response = requests.post(webhook_url + action, json=data)
+    except:
+        pass
+    
+    
+# Add debug button to display RASA version, Model Name
 with st.expander("Debug"):
     if st.button("Show Debug Info"):
         request_ids = ['/status', '/version']
@@ -62,4 +76,3 @@ with st.expander("Debug"):
         st.write("")
 
 
-