Welcome to the comprehensive course on building chatbots with OpenAI. Chatbots have revolutionized the way businesses and individuals interact with users, providing efficient and personalized experiences. In this course, we will take you on a step-by-step journey, starting from the basic concepts of APIs and testing OpenAI APIs using tools like Postman, to creating fully functional chatbots using HTML, JavaScript, and CSS. By the end of this course, you will possess the skills and knowledge to develop and deploy your own chatbot.
Welcome to the comprehensive course on building chatbots with OpenAI. Chatbots have revolutionized the way businesses and individuals interact with users, providing efficient and personalized experiences. In this course, we will take you on a step-by-step journey, starting from the basic concepts of APIs and testing OpenAI APIs using tools like Postman, to creating fully functional chatbots using HTML, JavaScript, and CSS. By the end of this course, you will possess the skills and knowledge to develop and deploy your own chatbot.
The course begins with an introduction to APIs and how they form the backbone of chatbot development. You will learn how to utilize Postman to test OpenAI APIs and configure the environment for seamless integration. Through hands-on exercises, you will gain proficiency in setting up workspaces, collections, and API keys, enabling you to interact with OpenAI models effectively.
As the course progresses, you will dive into the world of chatbot development, exploring the different models provided by OpenAI, such as GPT-3.5 Turbo, and understanding how to leverage them to create engaging conversational experiences. You will learn how to define user and system rules, customize messages, and guide the behavior of your chatbot.
Furthermore, you will discover how to integrate your chatbot into web pages, enabling users to interact with it seamlessly. With the use of HTML, JavaScript, and CSS, you will have the power to shape the user interface and enhance the overall user experience. The course will guide you through the process of uploading your chatbot to live servers, allowing you to share your creation with the world.
By the end of the course, you will have gained the confidence to build chatbots that can understand and respond to user queries, provide recommendations, and even simulate human-like conversations. Join us on this immersive journey as we unlock the potential of chatbot development with OpenAI. Get ready to harness the power of artificial intelligence and create chatbots that transform the way we engage with technology. Enroll now and embark on an exciting adventure into the world of chatbot creation.
In this lesson, we will dive into the basics of using Postman as a tool to test APIs from OpenAI. We will explore how to configure the Postman environment, create workspaces and collections, and integrate the OpenAI API into our project. Starting with signing in to Postman, we will create a new workspace and collection, and then proceed to the OpenAI API playground to generate an API key. We will learn how to store the API key as a variable in Postman, set up authorization using the key, and configure the environment for seamless integration with OpenAI tools. Join us to discover the initial steps to leverage Postman and OpenAI for your projects. See you in the next lesson!
In this lesson, we will continue our journey of building a chatbot using OpenAI APIs. After setting up our workspace and collection in Postman and adding the API key to the environment, we will start by fetching data from the OpenAI documentation. Navigating to the models section, we will explore the various models provided by OpenAI, with a focus on GPT-3.5 Turbo, the model we will utilize for our chatbot. We will extract the endpoint for GPT-3.5 Turbo and return to Postman to construct our API request by specifying the endpoint.
However, during our initial request, we will encounter an authorization error, reminding us to include the API key in the authorization section. We'll rectify this by adding the key to the authorization headers. Once the authorization is set, we'll encounter another error, indicating the requirement for model parameters. It's now time to start building our chatbot.
In this lesson, we will take the next step in our chatbot development journey by building a simple web page that utilizes the OpenAI API. After successfully testing the API using Postman, we will now proceed to construct a web page with the help of ChatGPT. We'll provide ChatGPT with the necessary instructions and parameters, such as the HTML code and JSON configuration, including the endpoint URL and API key.
In this lesson, we will explore the process of running our chatbot online using Triple Zero Web Host. As a recommended option for beginners, Triple Zero Web Host provides a free hosting service that allows us to test our chatbot project.
We'll begin by creating an account on Triple Zero Web Host, which is a straightforward process requiring only an email address. Once signed in, we will navigate to the "Create New Website" section and provide a unique name for our website, such as "chatgbt432" (just a random example). Upon creation, we'll gain access to our own hosting environment, which is ideal for testing our chatbot.
In this lesson, we will dive into the process of configuring and utilizing a chatbot template to create our own personalized chatbot. The template consists of HTML, JavaScript, and CSS files, and we'll focus on configuring the HTML and JavaScript components.
Starting with the HTML code, we'll open it using a text editor and explore the existing messages, such as the welcoming message and thinking message. We'll modify the welcoming message to suit our desired greeting and save the file. Returning to the chatbot template, we'll observe the updated welcoming message. However, without setting up the API key, the chatbot will display a thinking message without generating a response.
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