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import streamlit as st | |
from streamlit_chat import message | |
from langchain.llms import GooglePalm | |
from langchain.chains import ConversationChain | |
from langchain.chains.conversation.memory import ConversationSummaryMemory | |
import os # Import the os module | |
# Initialize session state variables | |
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'] = '' | |
# Streamlit UI | |
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) | |
# Sidebar | |
st.sidebar.title(":D") | |
st.session_state['API_Key'] = st.sidebar.text_input("What's your API key?", type="password") # Accepts any API key here | |
summarise_button = st.sidebar.button("Summarise the conversation", key="summarise") | |
if summarise_button: | |
summarise_placeholder = st.sidebar.write("Nice chatting with you my friend <3️:\n\n" + st.session_state['conversation'].memory.buffer) | |
# Function to get response from Google Palm | |
def get_response(user_input, api_key): | |
if st.session_state['conversation'] is None: | |
google_api_key = os.environ.get('GOOGLE_API_KEY') # Get API key from environment variable | |
llm = GooglePalm(google_api_key=google_api_key, temperature=0) | |
st.session_state['conversation'] = ConversationChain( | |
llm=llm, | |
verbose=True, | |
memory=ConversationSummaryMemory(llm=llm) | |
) | |
response = st.session_state['conversation'].predict(input=user_input) | |
return response | |
# Chat UI | |
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: | |
st.session_state['messages'].append(user_input) | |
model_response = get_response(user_input, st.session_state['API_Key']) | |
st.session_state['messages'].append(model_response) | |
with response_container: | |
for i in range(len(st.session_state['messages'])): | |
if (i % 2) == 0: | |
message(st.session_state['messages'][i], is_user=True, key=str(i) + '_user') | |
else: | |
message(st.session_state['messages'][i], key=str(i) + '_AI') |