README.md · thisisdev/Customer_Support

metadata

title: Customer Support Agent
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
  - streamlit
pinned: false
short_description: This app implements an AI-powered customer support Agent
license: mit

🛒 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

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

How to get Started?

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 customer_support_agent.py