38 lines
1.1 KiB
Markdown
38 lines
1.1 KiB
Markdown
## 🛒 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?
|
|
|
|
1. Clone the GitHub repository
|
|
```bash
|
|
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
|
|
```
|
|
|
|
2. Install the required dependencies:
|
|
|
|
```bash
|
|
pip install -r requirements.txt
|
|
```
|
|
|
|
3. 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
|
|
```
|
|
|
|
4. Run the Streamlit App
|
|
```bash
|
|
streamlit run customer_support_agent.py
|
|
```
|