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Create Your Chat GPT-3 Web App with Streamlit in Python
Not only for the hype
The ChatGPT-3 (Generative Pre-trained Transformer) from OpenAI is one of the most potent chatbots available at the moment of writing this article. You can ask anything, and it will provide accurate responses. Additionally, OpenAI offers an API for use in programming. We are considering applications which are supported given these features, though this is for another article. To start, in this tutorial we’ll look at how to use the Python API to build a Chat GPT-3 web app. At the moment of writing this tutorial the full ChatGPT API has not been released yet, and there is a waiting list.
STREAMLIT
Streamlit is an open-source app framework ideally for Machine Learning and Data Science. It allows developers to create interactive, web-based applications for data visualization and analysis, without having to write extensive HTML, CSS, or JavaScript code. Streamlit uses Python to build the apps, making it easy for data scientists and engineers to use their existing knowledge and skills to create custom, interactive tools for data exploration and analysis. It is very easy to integrate Python code and even interactive Matplotlib-like graphs. A bit of pain in the back is the upload of data to be used for security reasons.
