Update app.py

app.py

@@ -11,6 +11,14 @@ import os
 import sys
 import pandas as pd
 
+def conversational_chat(query):    
+    result = chain({"question": query, 
+    "chat_history": st.session_state['history']})
+    st.session_state['history'].append((query, result["answer"]))
+
+    return result["answer"]
+
+
 user_api_key = st.sidebar.text_input(
     label="#### Your OpenAI API key 👇",
     placeholder="Paste your openAI API key, sk-",
@@ -34,41 +42,35 @@ if user_api_key is not None:
     llm = ChatOpenAI(temperature=0.0,model_name='gpt-3.5-turbo'),
     retriever=vectorstore.as_retriever())
 
-def conversational_chat(query):    
-    result = chain({"question": query, 
-    "chat_history": st.session_state['history']})
-    st.session_state['history'].append((query, result["answer"]))
 
-    return result["answer"]
-
-if 'history' not in st.session_state:
-    st.session_state['history'] = []
-
-if 'generated' not in st.session_state:
-    st.session_state['generated'] = ["Hello ! Ask me anything about " + " 🤗"]
-
-if 'past' not in st.session_state:
-    st.session_state['past'] = ["Hey ! 👋"]
+    if 'history' not in st.session_state:
+        st.session_state['history'] = []
     
-#container for the chat history
-response_container = st.container()
-#container for the user's text input
-container = st.container()
-
-with container:
-    with st.form(key='my_form', clear_on_submit=True):
-        
-        user_input = st.text_input("Query:", placeholder="Talk about your csv data here (:", key='input')
-        submit_button = st.form_submit_button(label='Send')
-        
-    if submit_button and user_input:
-        output = conversational_chat(user_input)
+    if 'generated' not in st.session_state:
+        st.session_state['generated'] = ["Hello ! Ask me anything about " + " 🤗"]
+    
+    if 'past' not in st.session_state:
+        st.session_state['past'] = ["Hey ! 👋"]
         
-        st.session_state['past'].append(user_input)
-        st.session_state['generated'].append(output)
-
-if st.session_state['generated']:
-        with response_container:
-            for i in range(len(st.session_state['generated'])):
-                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="big-smile")
-                message(st.session_state["generated"][i], key=str(i), avatar_style="thumbs")
+    #container for the chat history
+    response_container = st.container()
+    #container for the user's text input
+    container = st.container()
+    
+    with container:
+        with st.form(key='my_form', clear_on_submit=True):
+            
+            user_input = st.text_input("Query:", placeholder="Talk about your csv data here (:", key='input')
+            submit_button = st.form_submit_button(label='Send')
+            
+        if submit_button and user_input:
+            output = conversational_chat(user_input)
+            
+            st.session_state['past'].append(user_input)
+            st.session_state['generated'].append(output)
+    
+    if st.session_state['generated']:
+            with response_container:
+                for i in range(len(st.session_state['generated'])):
+                    message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="big-smile")
+                    message(st.session_state["generated"][i], key=str(i), avatar_style="thumbs")