Custom ChatGPT Application with Chat GPT API from OpenAI in Python Flask

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Description

Are you interested in building your very own custom chatbot powered by OpenAI's Chat GPT API? Look no further! This comprehensive course is designed to guide you through the process of creating a personalized chatbot application using Python Flask and the Chat GPT API from OpenAI. In this course, you will start by understanding the fundamentals of natural language processing and chatbot development. You will gain insights into the capabilities and limitations of OpenAI's Chat GPT API and learn how to leverage its power to create intelligent and engaging conversational experiences.

What You will Learn?

Understanding the fundamentals of natural language processing and chatbot development.
Building a custom chatGPT application using Python Flask.

Pre-Requisites

Basic knowledge of Python programming language.
Familiarity with web development concepts.

Skills

Proficiency in using the Chat GPT API from OpenAI.
Strong understanding of natural language processing and conversational AI.
Context management and response customization techniques.
Creativity in designing engaging conversational experiences.

SECTION 1: BUILDING THE CHATGPT APPLICATION: FROM FLASK STARTER CODE TO API INTEGRATION
In this section, we will provide an overview of the ChatGPT application that we are going to build throughout the course. We will start by downloading the Flask starter code from Github, which will serve as the foundation for our application. We will take a closer look at the boilerplate Flask application and understand its structure and components.

By the end of this section, you will have a clear understanding of the ChatGPT application that we are going to build. You will be equipped with the necessary knowledge and skills to download the Flask starter code, examine its structure, write the OpenAI API code for chat functionality, and integrate it into the Flask application. This section will lay a solid foundation for the subsequent stages of building your custom chatbot application.
- Introduction and Flask Starter Code
  00:24:01
- Flask Application Boilerplate
  00:20:53
- Implementing OpenAI API Code for Chat Functionality and Integrating with Flask Application
  00:26:19
SECTION 2: BUILDING AND TESTING THE CUSTOM CHATGPT APPLICATION
In this section, you will take the necessary steps to build and test your custom ChatGPT Application. Starting with the preparation of your development environment on a virtual server, you will obtain the API Key from OpenAI and install the required libraries. Once the setup is complete, you will proceed to build the document loader and index, enabling efficient retrieval of information during conversations.
- Setting Up Development Environment and Document Loader
  00:24:25
- Testing and Adapting the Custom Chatbot
  00:27:11
SECTION 3: CREATE CUSTOM CHATGPT WITH YOUR OWN DATA REDIS SEARCH OPENAI COOKBOOK CHATBOT-KICKSTARTER
In this section, 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.

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.
- Setting Up Chatbot Kickstarter: Configuring the config.py File
  00:25:51
- Database.py File and Transformers.py File
  00:26:41
- Installing Project Requirements and Docker in Your VPS
  00:27:26
- Setting Up Redis Stack Server and Building the main notebook.py File
  00:31:02
- Testing Functions and Final Application
  00:31:25

Tutor: Bertha Kgokong

Software Programmer And Tech Entrepreneur

Software Programmer and Tech Entrepreneur, i have extensive experience in Software Development - end-to-end in most platforms, Business Processes and Entrepreneurship. I am a fully qualified Engineer, with a Bachelors Degree and Masters in Business Administration - with over 17 years of professional experience. I am also an entrepreneur with a couple of award winning ventures and projects in Software Development.