This Streamlit app implements an AI-powered travel assistant that remembers user preferences and past interactions. It utilizes OpenAI's GPT-4o for generating responses and Mem0 with Qdrant for maintaining conversation history.
- Chat-based interface for interacting with an AI travel assistant
- Persistent memory of user preferences and past conversations
- Utilizes OpenAI's GPT-4o model for intelligent responses
- Implements memory storage and retrieval using Mem0 and Qdrant
- User-specific conversation history and memory viewing
- Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
- Install the required dependencies:
pip install -r requirements.txt
- Ensure Qdrant is running: The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code if your setup is different.
docker pull qdrant/qdrant
docker run -p 6333:6333 -p 6334:6334 \
-v $(pwd)/qdrant_storage:/qdrant/storage:z \
qdrant/qdrant
- Run the Streamlit App
streamlit run travel_agent_memory.py