![]() ![]() You will need to replace the API Key in the code in order to run the chatbot Once you have your API key, you can install the openai library using pip: You can sign up here and get your API key here. The code is written in Python and uses the OpenAI Python libraryīefore you begin, you'll need to sign up for an OpenAI API key. This repository contains code for building a terminal-based chatbot using OpenAI's recently released ChatGPT API Released on. Some of the intents store conversation data that we'll use to open the bug at the end.□ ChatGPT-API-Python: Building a Chatbot using OpenAI's ChatGPT API □ ![]() Note that some of the intents are only possible after a previous intent has been matched. So to illustrate the capabilities of our chatbot approach for GitHub we'll make sure the chatbot collects this information. Typically, to debug a potential error there we always need to know the WP version and the PHP version the website is running. In the example, we assume the project is a WordPress plugin. I'll show you how a chatbot can make sure a bug report has all the basic information a maintainer needs. And one that delays significantly the bug fixing since the communication is not synchronous so depending on the respective availability and time zones, it can go on for a few days. This is a huge waste of time for both sides. If you look at any OSS project, the firsts iterations in any new bug report consist in the maintainer trying to get from the user who submitted the report all the information needed to reproduce it. Let's see how we can use Xatkit to create our two bots. In Xatkit, you define the bot behaviour via two different files: the intent library (that specifies the potential intentions of the user when talking to the chatbot) and the execution model (that defines how to react to the user intentions or other events directly received by the bot). ![]() Xatkit already provides an abstraction of these three elements, heavily simplifying the development of chatbots, as you'll see in a moment (for the TL DR people, check the Xatkit organization in GitHub and take a look at the code of the example bot). Instead of manually doing all this work ourselves, we will rely on Xatkit platform (an open-source low-code chatbot development framework). To create such a chatbot you'll need to interact with the Slack API, the GitHub API and at least a Natural Language Understanding (NLU) component, like DialogFlow. (for maintainers) A bot that pings you on Slack when a new issue is created and lets you assign labels and developers to it.(for users) A bot that helps your users write good bug reports so that you don't waste your time trying to reproduce their bugs with incomplete information.As example bots, we'll create two chatbots: To make things even more interesting, we'll deploy the chatbot as a Slack app. Once we're done you'll be able to chat with your GitHub repositories. In this post, we'll show you how you could easily build your own bot for GitHub. See a good list of existing bots you can add to your OSS project. There are many ways to help the maintainers but one growing trend is the creation of bots that automate some of the tasks. Sustainability of open source is a huge problem. ![]()
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