first commit

app.py

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+import os
+import streamlit as st
+from streamlit_chat import message
+
+from langchain_openai import OpenAI
+from langchain.chains import ConversationChain
+from langchain.chains.conversation.memory import (
+    ConversationBufferMemory,
+    ConversationSummaryMemory,
+    ConversationBufferWindowMemory
+)
+
+if "conversation" not in st.session_state:
+    st.session_state['conversation'] = None
+
+if "messages" not in st.session_state:
+    st.session_state['messages'] = []
+
+if 'api_key' not in st.session_state:
+    st.session_state['api_key'] = ''
+
+def getresponse(userInput, api_key):
+
+    if not st.session_state['conversation']:
+        llm = OpenAI(
+            model="gpt-3.5-turbo-instruct",
+            temperature=0.1,
+            api_key = api_key,
+        )
+
+        st.session_state['conversation'] = ConversationChain(
+            llm = llm,
+            verbose = True,
+            memory = ConversationSummaryMemory(llm=llm)
+        )
+    response = st.session_state['conversation'].predict(input=userInput)
+    return response
+
+st.set_page_config(page_title="ChatGPT Clone", page_icon=":robot_face:")
+st.markdown("<h1 style='text-align: center;'>How can I assist you</h1>", unsafe_allow_html=True)
+
+st.sidebar.title("😎")
+st.session_state['api_key'] = st.sidebar.text_input("What is your api key", type="password")
+summarize_button = st.sidebar.button("Summarize the conversation", key='summarize')
+
+if summarize_button:
+    summarize_placeholder = st.sidebar.write("Summary of current conversation:\n" + st.session_state['conversation'].memory.buffer)
+
+response_container = st.container()
+container = st.container()
+
+with container:
+    with st.form(key='my_form', clear_on_submit=True):
+        user_input = st.text_area("Your question goes here:", key="input", height=100)
+        submit_button = st.form_submit_button(label="Send")
+       
+        if submit_button and user_input:
+            answer = getresponse(user_input, st.session_state['api_key'])
+            # Append both user input and AI response to messages
+            st.session_state['messages'].append((user_input, answer))  # Store messages as tuples
+
+with response_container:
+    for i, (user_msg, ai_msg) in enumerate(st.session_state['messages']):  # Update loop to handle tuples
+        message(user_msg, is_user=True, key=f'{i}_user')
+        message(ai_msg, key=f'{i}_AI')

requirements.txt

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+langchain==0.1.4
+streamlit==1.30.0
+streamlit-chat==0.1.1
+openai==1.10.0
+langchain-openai==0.0.5