Spaces:
Sleeping
Sleeping
File size: 3,483 Bytes
5bf7ec6 014b583 5bf7ec6 2506d47 5bf7ec6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
## Conversational AI Chatbot
from langchain_openai import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os
#from langchain.schema import HumanMessage,SystemMessage,AIMessage
from langchain_openai import ChatOpenAI
from langchain.chains import ConversationChain
from langchain.chains.conversation.memory import ConversationEntityMemory
from langchain.chains.conversation.prompt import ENTITY_MEMORY_CONVERSATION_TEMPLATE
## Initialising Session State
# Set Streamlit page configuration
st.set_page_config(page_title='Conversational Chatbot', layout='wide')
st.header("Hey there! Ask me anything.")
# Initialize session states
if "generated" not in st.session_state:
st.session_state["generated"] = [] # Output
if "past" not in st.session_state:
st.session_state["past"] = [] #Previous states
if "input" not in st.session_state:
st.session_state["input"] = ""
if "stored_session" not in st.session_state:
st.session_state["stored_session"] = []
#User input
def get_text():
## Getting input from user
input=st.text_input("Input:",key='input')
#response = get_response(input)
submit = st.button("Ask the question")
return input
# Define function to start a new chat
def new_chat():
"""
Clears session state and starts a new chat.
"""
save = []
for i in range(len(st.session_state['generated'])-1, -1, -1):
save.append("User:" + st.session_state["past"][i])
save.append("Bot:" + st.session_state["generated"][i])
st.session_state["stored_session"].append(save)
st.session_state["generated"] = []
st.session_state["past"] = []
st.session_state["input"] = ""
st.session_state.entity_memory.entity_store = {}
st.session_state.entity_memory.buffer.clear()
chat = ChatOpenAI(openai_api_key=os.environ["OPENAI_API_KEY"],
temperature=0.5,model='gpt-3.5-turbo',verbose=False)
# Create a ConversationEntityMemory object if not already created
if 'entity_memory' not in st.session_state:
st.session_state.entity_memory = ConversationEntityMemory(llm=chat)
# Create the ConversationChain object with the specified configuration
Conversation = ConversationChain(
llm=chat,
prompt=ENTITY_MEMORY_CONVERSATION_TEMPLATE,
memory=st.session_state.entity_memory
)
# Get the user input
user_input = get_text()
if user_input:
output = Conversation.run(input=user_input)
st.session_state.past.append(user_input)
st.session_state.generated.append(output)
# Allow to download as well
download_str = []
with st.expander("Conversation", expanded=True):
for i in range(len(st.session_state['generated'])-1, -1, -1):
st.info(st.session_state["past"][i])
st.success(st.session_state["generated"][i])
download_str.append(st.session_state["past"][i])
download_str.append(st.session_state["generated"][i])
# Can throw error - requires fix
download_str = '\n'.join(download_str)
if download_str:
st.download_button('Download',download_str)
# Display stored conversation sessions in the sidebar
for i, sublist in enumerate(st.session_state.stored_session):
with st.sidebar.expander(label= f"Conversation-Session:{i}"):
st.write(sublist)
# Allow the user to clear all stored conversation sessions
if st.session_state.stored_session:
if st.sidebar.checkbox("Clear-all"):
del st.session_state.stored_session |