As a researcher or scientific writer, you may often find yourself needing to quickly understand and summarize complex scientific articles. Luckily, there are tools that can help make this overwhelming process easier. In this blog post, we’ll look at how to use OpenAI’s GPT-3 language model and the Streamlit library to create a simple application for generating summaries of scientific articles.
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TL;DR: This blog post uses the OpenAI API and the Streamlit library to create a simple web application that allows a user to input a scientific article and generate a summary of the article. The user can choose the size of the output summary and save the generated summary to their device.
🔧 Setting Up
1. OpenAI API 🤩
To use the OpenAI API, you will need to obtain an API key by signing up for a free account on the OpenAI website and creating a new API key. You can then use the API key in your code by setting it as the value of the openai.api_key variable (refer to the code block). You can then use the OpenAI API by making requests to the API's endpoints using the openai library. This will allow you to use the AI-powered text generation capabilities of the…
