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awesome-llm-apps/llm_app_personalized_memory
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ShubhamSaboo e255f92b4c Added new demo
2024-07-21 20:28:55 -05:00
..
llm_app_memory.py Added new demo 2024-07-18 21:31:55 -05:00
multi_llm_memory.py Added new demo 2024-07-21 20:28:55 -05:00
README.md Added new demo 2024-07-18 21:31:55 -05:00
requirements.txt Added new demo 2024-07-21 20:28:55 -05:00

README.md

🧠 LLM App with Memory

This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

Features

  • Utilizes OpenAI's GPT-4o model for generating responses
  • Implements persistent memory using Mem0 and Qdrant vector store
  • Allows users to view their conversation history
  • Provides a user-friendly interface with Streamlit

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
  1. Install the required dependencies:
pip install -r requirements.txt
  1. 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
  1. Run the Streamlit App
streamlit run llm_app_memory.py