Introduction to Using Generative AI Models: Create Your Own Chatbot!

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  • chatbot-langchain-openai-streamlit

    This project demonstrates the use of generative AI models through Python.

    Find the final source code produced by this article here.

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  • CPython

    The Python programming language

    The aim of this article is to guide you step by step in creating an application that interacts with generative AI models. We will start by setting up a Python development environment, following best practices. Then, we will explain the basics of interacting with generative AI model as well as the fundamental principles of the Langchain framework. Once these foundations are laid, we will implement a simple chatbot using the OpenAI API and Langchain. Finally, we will integrate this chatbot into a graphical interface with Streamlit, to offer a smooth and interactive user experience.

  • streamlit

    Streamlit — A faster way to build and share data apps.

    The aim of this article is to guide you step by step in creating an application that interacts with generative AI models. We will start by setting up a Python development environment, following best practices. Then, we will explain the basics of interacting with generative AI model as well as the fundamental principles of the Langchain framework. Once these foundations are laid, we will implement a simple chatbot using the OpenAI API and Langchain. Finally, we will integrate this chatbot into a graphical interface with Streamlit, to offer a smooth and interactive user experience.

  • openai-python

    The official Python library for the OpenAI API

    To interact with the OpenAI API, you will install the openai package:

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