Create Custom ChatGPT with Your Own Data Redis Search OpenAI Cookbook Chatbot-Kickstarter

#chatgpt #chatgptbot #openai

Create Custom ChatGPT with Your Own Data Redis Search OpenAI Cookbook Chatbot-Kickstarter

Welcome to our comprehensive tutorial on creating a Custom ChatGPT Bot powered by your data, Redis Search, and the OpenAI Cookbook! This step-by-step guide will walk you through the entire process, from setting up your Redis Stack server with Docker to integrating your ChatGPT model with a Python Flask application.
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Useful Links:
Starter Code: https://github.com/skolo-online/build-chatgpt-with-own-data

Get OpenAI API Key: https://platform.openai.com/account/api-keys
OpenAI ChatGPT Documentation: https://platform.openai.com/docs/guides/chat/introduction
Chatbot Kickstarter: https://github.com/openai/openai-cookbook/tree/main/apps/chatbot-kickstarter
Chatbot Notebook: https://github.com/openai/openai-cookbook/blob/main/apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb
Install Redis on Linux: https://redis.io/docs/stack/get-started/install/linux/
Install Docker on Linux: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-20-04
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In this video, we will cover:

Introduction: Get an overview of the technologies and tools we’ll be using, including ChatGPT, Redis Search, OpenAI Cookbook, Docker, and Python Flask.

Setting up Redis Stack server with Docker: Learn how to easily deploy a Redis Stack server using Docker, a popular containerization platform.

Setting up Redis Stack server in a virtual server: Discover how to set up a Redis Stack server on a virtual server, providing an alternative deployment method for your project.

Creating a Redis Search index: We’ll guide you through the process of creating a search index in Redis, which will efficiently store and manage your data.

Adding documents to the index: Learn how to add your data to the Redis Search index, preparing it for use by your ChatGPT bot.

Querying the index: Understand how to perform various queries on your Redis Search index, ensuring you can efficiently retrieve the data needed to answer user questions.

Using ChatGPT to answer questions with results from the index: We’ll demonstrate how to connect your ChatGPT model to the Redis Search index, enabling your chatbot to provide accurate and relevant responses based on your data.

Integrating the search with ChatGPT in a Python Flask application: In this final step, we’ll show you how to seamlessly integrate your Redis Search-powered ChatGPT bot into an existing Python Flask application, creating a complete and interactive chatbot experience.

By the end of this tutorial, you’ll have gained the knowledge and tools necessary to create a unique and personalized ChatGPT chatbot, tailored to your specific data and use case. Whether you’re a seasoned AI developer or a complete beginner, this video will provide you with the guidance and support you need to succeed in building your very own ChatGPT bot.

Join us on this exciting journey and unlock the full potential of custom chatbot creation with Redis Search and ChatGPT!”

Remember to like, share, and subscribe to our channel for more tutorials and guides in the world of AI and chatbot development!

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💡 Timestamps:
00:07:20 Chatbot Kickstarter Github
00:19:37 config.py file, set up the constants
00:36.49 databse.py file
00:39:56 transformers.py file
00:45:32 Install the project requirements (requirements.txt)
00:51:32 Install Docker in your VPS
00:57:06 Install Redis Stack Server in your VPS
01:04:42 Build the main notebook.py file
01:54:55 Test the functions in notebook.py file
02:17:31 Test final application

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