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thisisdev/Customer_Support_Agent

sourceHugging Facemitupdated 1y agoView on Hugging Face
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App README

๐Ÿ›’ AI Customer Support Agent with Memory

This Streamlit app implements an AI-powered customer support agent for synthetic data generated using GPT-4o. The agent uses OpenAI's GPT-4o model and maintains a memory of past interactions using the Mem0 library with Qdrant as the vector store.

Features

  • โ€”Chat interface for interacting with the AI customer support agent
  • โ€”Persistent memory of customer interactions and profiles
  • โ€”Synthetic data generation for testing and demonstration
  • โ€”Utilizes OpenAI's GPT-4o model for intelligent responses

How to get Started?

  1. 1.Install the required dependencies:
bash
pip install -r requirements.txt
  1. 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.
bash
docker pull qdrant/qdrant

docker run -p 6333:6333 -p 6334:6334 \
    -v "$(pwd)/qdrant_storage:/qdrant/storage:z" \
    qdrant/qdrant
  1. 1.Run the Streamlit App
bash
streamlit run customer_support_agent.py