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import streamlit as st
from langchain_community.llms import HuggingFaceTextGenInference
import os
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain.schema import StrOutputParser
from custom_llm import CustomLLM, custom_chain_with_history
API_TOKEN = os.getenv('HF_INFER_API')
#API_URL = "https://api-inference.huggingface.co/models/gpt2"
from typing import Optional
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_community.chat_models import ChatAnthropic
from langchain_core.chat_history import BaseChatMessageHistory
from langchain.memory import ConversationBufferMemory
from langchain_core.runnables.history import RunnableWithMessageHistory
if 'memory' not in st.session_state:
st.session_state['memory'] = ConversationBufferMemory(return_messages=True)
if 'chain' not in st.session_state:
st.session_state['chain'] = CustomChainWithHistory(llm=CustomLLM(repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1", model_type='text-generation', api_token=API_TOKEN, stop=["\n<|"]), memory=memory)
st.title("Chat With Me")
st.subheader("by Jonathan Jordan")
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# React to user input
if prompt := st.chat_input("Ask me anything.."):
# Display user message in chat message container
st.chat_message("User").markdown(prompt)
# Add user message to chat history
st.session_state.messages.append({"role": "User", "content": prompt})
response = st.session_state.chain.invoke(prompt)
# Display assistant response in chat message container
with st.chat_message("Jojo"):
st.markdown(response)
memory.save_context({"question":prompt}, {"output":prompt})
memory.chat_memory.messages = memory.chat_memory.messages[-15:]
# Add assistant response to chat history
st.session_state.messages.append({"role": "Jojo", "content": response})
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