Skip to content

Kevin7744/Bee-AI

Repository files navigation

Bee-AI Chatbot

image

Bee-AI is a chatbot built using Flask and OpenAI's GPT-3.5 language model, designed to provide assistance through text-based conversations. It utilizes various tools and APIs to offer a range of functionalities, including information extraction, web browsing, and mobile payment integration.

Features

  • Text-based Conversations: Users can interact with the chatbot via text messages.
  • Natural Language Processing: Bee-AI leverages OpenAI's GPT-3.5 model for natural language understanding and response generation.
  • Tool Integration: It incorporates various tools and APIs to perform tasks such as information extraction, web browsing, and mobile payment processing.
  • Continuous Conversation Loop: The chatbot maintains a continuous conversation loop, allowing users to engage in multiple exchanges.
  • Customizable System Message: Users receive a customizable system message outlining the chatbot's capabilities and instructions on usage.

Tools and APIs Used

  • Google Serper API: An API for accessing search engine results pages from Google.
  • Safaricom Daraja API: An API provided by Safaricom for mobile payment integration in Kenya.

Planned Additions

  • Enhanced Natural Language Understanding: Implement advanced techniques to improve the chatbot's comprehension of user queries.
  • Additional APIs: Integrate more APIs to expand the chatbot's capabilities, such as location-based services, weather forecasting, and language translation.
  • User Authentication: Implement user authentication mechanisms for personalized interactions and data security.
  • Multimedia Support: Enable support for multimedia content, such as images, videos, and audio files, in conversations.

Usage

To interact with Bee-AI, follow these steps:

  1. Clone the repository: git clone https://github.com/yourusername/Bee-AI.git
  2. Install dependencies: pip install -r requirements.txt
  3. Run the Flask server: python main.py
  4. Send messages to Bee-AI via HTTP POST requests to http://localhost:5000/chat.

Future Enhancements

In future updates, we plan to add the following features and integrations:

  • Integration with Twilio API for handling SMS messages.
  • Expansion of toolset to include additional functionality such as language translation and sentiment analysis.

Contributors

License

licensed under the MIT License

About

AI-chatbot with access to various tools (API's and custom functions) and responds back to the user on whatsapp using Twilio

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages