95 lines
3.3 KiB
Python
95 lines
3.3 KiB
Python
import streamlit as st
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from openai import OpenAI
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from mem0 import Memory
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# Set up the Streamlit App
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st.title("AI Travel Agent with Memory 🧳")
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st.caption("Chat with a travel assistant who remembers your preferences and past interactions.")
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# Set the OpenAI API key
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openai_api_key = st.text_input("Enter OpenAI API Key", type="password")
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if openai_api_key:
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# Initialize OpenAI client
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client = OpenAI(api_key=openai_api_key)
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# Initialize Mem0 with Qdrant
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config = {
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"vector_store": {
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"provider": "qdrant",
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"config": {
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"host": "localhost",
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"port": 6333,
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}
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},
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}
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memory = Memory.from_config(config)
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# Sidebar for username and memory view
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st.sidebar.title("Enter your username:")
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previous_user_id = st.session_state.get("previous_user_id", None)
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user_id = st.sidebar.text_input("Enter your Username")
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if user_id != previous_user_id:
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st.session_state.messages = []
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st.session_state.previous_user_id = user_id
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if st.sidebar.button("View Memory Info"):
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if user_id:
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memories = memory.get_all(user_id=user_id)
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if memories:
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st.sidebar.write(f"Memory for user **{user_id}**:")
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for mem in memories:
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st.sidebar.write(f"- {mem['text']}")
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else:
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st.sidebar.info("No memory found for this user ID.")
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else:
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st.sidebar.error("Please enter a username to view memory info.")
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# Initialize the chat history
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display the chat history
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Accept user input
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prompt = st.chat_input("Where would you like to travel?")
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if prompt and user_id:
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.markdown(prompt)
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# Retrieve relevant memories
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relevant_memories = memory.search(query=prompt, user_id=user_id)
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context = "Relevant past information:\n"
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for mem in relevant_memories:
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context += f"- {mem['text']}\n"
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# Prepare the full prompt
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full_prompt = f"{context}\nHuman: {prompt}\nAI:"
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# Generate response
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response = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": "You are a travel assistant with access to past conversations."},
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{"role": "user", "content": full_prompt}
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]
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)
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answer = response.choices[0].message.content
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": answer})
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with st.chat_message("assistant"):
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st.markdown(answer)
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# Store the user query and AI response in memory
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memory.add(prompt, user_id=user_id, metadata={"role": "user"})
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memory.add(answer, user_id=user_id, metadata={"role": "assistant"})
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elif not user_id:
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st.error("Please enter a username to start the chat.")
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