Information Updated

README.md

@@ -1,20 +1,33 @@
----
-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
----
-
-# Welcome to Streamlit!
-
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
-
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## 🛒 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. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+2. 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
+```
+
+3. Run the Streamlit App
+```bash
+streamlit run customer_support_agent.py
+```