Welcome to the AI Customer Agent project! 🚀
This repository houses an intelligent AI-powered customer service agent built using LangFlow, a powerful tool for creating and managing conversational AI workflows.
- Effortless Conversations: Automates customer service tasks with natural and engaging dialogues.
- Customizable: Designed to be flexible and easily adaptable to various industries.
- LangFlow-Powered: Built using LangFlow for seamless workflow design and integration.
- Real-Time Responses: Handles queries with real-time, context-aware replies.
- LangFlow: For designing and managing the AI's workflow.
- OpenAI API: To generate human-like responses.
- Python: Backend scripting.
- Flask/Django (Optional): To host and serve the AI agent.
- The AI agent is designed and trained in LangFlow, a graphical interface for AI workflows.
- User queries are processed in real time, leveraging advanced AI models for accurate and contextual replies.
- The system can be deployed on a local or cloud-based server for easy access and scalability.
Follow these steps to set up the AI Customer Agent:
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Clone the Repository:
git clone https://github.com/sriramsowmithri9807/Ai-Costomer-Agent.git cd Ai-Costomer-Agent -
Install Dependencies:
pip install -r requirements.txt
-
Set Up API Keys:
- Add your API key(s) for services like OpenAI in the appropriate configuration file.
-
Run the Application:
python app.py
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Access the Agent: Open your browser and navigate to
http://localhost:5000(or the configured port).
Detailed documentation is available in the Wiki (coming soon).
We welcome contributions! Feel free to:
- Report bugs.
- Suggest features.
- Submit pull requests.
For questions or feedback, please reach out via:
- Email: [email protected]
- Thanks to the LangFlow community for their support.
- Inspired by the power of conversational AI to revolutionize customer service.