How to build a chatGPT chatbot on Slack

Описание к видео How to build a chatGPT chatbot on Slack

Welcome to this tutorial video on creating a Slack chatbot using the OpenAI language model, LangChain, and the Slack Bolt library. This video will showcase the creation of an AI-powered Slackbot that can engage in natural conversations, answer questions, and provide information on various topics.

In the first part of this video, we will demonstrate the Slackbot in action and show how it can be used in real-life scenarios.

Next, we'll provide step-by-step instructions on how to set up your Slackbot, including setting up a Slack account, creating a Slackbot, and obtaining the necessary tokens. We'll also review the setup process for OpenAI and how to get started with the LangChain library.

We'll then dive into the development process, introducing the LangChain library and providing an overview of how it works. This includes the GPT Clone function, which allows us to create a chatbot using the OpenAI language model.

In the code section, we'll go over the Slackbot code in detail and explain each part. You'll learn how to implement the LangChain library, process messages from Slack, and generate responses using the OpenAI language model.

Finally, we'll test the Slackbot and see it in action. We'll ask it a series of questions and see how it responds.

By the end of this video, you'll have a working Slackbot that can engage in natural conversations and provide valuable information on a wide range of topics.

Looking to learn more? Check out my full course on Building Slack ChatGPT applications
How to Build Slack ChatGPT Apps - Real World Examples - https://www.udemy.com/course/master-l...


Resources:
Slack Bolt library: https://github.com/slackapi/bolt-js
OpenAI: https://openai.com/
LangChain: https://langchain.readthedocs.io/en/l...
Github Repo: https://github.com/hollaugo/chatgpt-s...

Chapters:
00:00 Introduction
00:27 Showcase
02:30 Setup Instructions
03:03 Slack Setup
06:28 OpenAI Setup
06:42 Dev Setup
07:58 LangChain Overview
11:29 LangChain GPT Clone Function
16:15 Code
19:10 Final Test

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