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https://github.com/coleam00/ai-agents-masterclass.git
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47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from dotenv import load_dotenv
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from datetime import datetime
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import streamlit as st
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import json
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import os
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import AIMessage, SystemMessage, HumanMessage, ToolMessage
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load_dotenv()
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model = os.getenv('LLM_MODEL', 'gpt-4o')
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def main():
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st.title("Streamlit Chatbot")
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# Initialize the chat history with the initial system message
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if "messages" not in st.session_state:
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st.session_state.messages = [
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SystemMessage(content=f"The current date is: {datetime.now().date()}")
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]
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# Display chat messages from history each time the script is rerun when the UI state changes
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for message in st.session_state.messages:
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message_json = json.loads(message.json())
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with st.chat_message(message_json["type"]):
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st.markdown(message_json["content"])
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# Assign prompt to the user input if any is given, otherwise skip everything in this if statement
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if prompt := st.chat_input("What would you like to do today?"):
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# Display user message in chat message container
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st.chat_message("user").markdown(prompt)
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# Add the user message to chat history
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st.session_state.messages.append(HumanMessage(content=prompt))
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# Display the chatbot's response in chat message container
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with st.chat_message("assistant"):
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chatbot = ChatOpenAI(model=model)
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stream = chatbot.stream(st.session_state.messages)
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response = st.write_stream(stream)
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st.session_state.messages.append(AIMessage(content=response))
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if __name__ == "__main__":
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main() |