In this video, you will learn to place a text element, an input element, and a button element. The user feeds his input in the input element and clicks on the button, the button click sends the API across, and displays the response in...

In this video, the next application that we will integrate ChatGPT with is Bubble, which is the best way to build any application on the web without any code. It gives all the functionality and features on the type of app you want to...

In this video, we will use the Outlook pane application we created and send the body of an email for which we require a summary of, and then generate a summary of the email and display it on the pane we created.
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After getting the Azure functions and Outlook integrated, we will now create a useful application, which will allow users to get into their email and summarize the email for us. We will send the content of the mail and receive a...

After the Outlook add-in is working, we will now create API calls from our Outlook add-in to the ChatGPT API that we created. We will make post-requests and edit the model, prompt, body, and temperature of the Azure code.
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After building our first Outlook add-in project and going through some of the code behind it, we will start it and look at it on Outlook. We will be creating a task pane and we will click a button and a pane will come up from the right...

The next step involves creating our add-in project. We will use the Yo office command to select the support to Outlook. We will check to define the parameters that will modify the behavior of the app.
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The next common software that we will integrate OpenAI with is Outlook. We will use an Outlook account with Office products. We will begin with installing the tools and setting up the environment.
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We will now link our Power Automate flow to have the ChatGPT APIs into Power App. We will create the functionality when clicking the button to execute the flow and obtain the response from the Power Automate flow.
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We will now create an app that sends a prompt to the Power Automate, and then sends the prompt to our API that we created and then to the Davinci model of OpenAI, which then sends the response from the Azure function to the Power...

In this video, you will learn to create a basic Power App that is a platform that enables you to create real-life applications quickly, which is a low-code or a no-code system. This can build a business app that can improve the...

After saving the flow with the parameters defined in the previous lesson, we will now test the flow manually and we will note the response generated by the Power Automate flow on to the Teams message window.
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After learning how to create a simple Flow on Power Automate, we will now use Power Automate and Teams to create a chatbot to integrate it with ChatGPT. We will ensure to use the same login for Power Automate and Teams.
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After learning to create our serverless ChatGPT API, we can plug this into different software. We will look at integrating the API into Power Automate to begin with, which creates a flow for repetitive business tasks.
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After successfully testing and deploying our function in the local workspace, we will now test and deploy our function in the OpenAI ChatGPT to create responses for the Azure functions that we have created.
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In this video, we will test our Azure function over a local workspace for functionality. We will define the parameters for the response and then test the function by deploying it. You will learn to create a wrapper API and integrate it...

After learning to deploy an Azure function using Postman and how to deploy an OpenAI API, we will now work on integrating the two together. We will call and deploy a function and learn to format the response for better...

In this video, we will create an Azure function. We will create a new project folder and create our first Azure function. We will create the function on our local workspace and then push the function over to Azure.
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Now that we have a way to sue a Python script on the API, we ran a script, which was accessed by the API, and returned a response, which is a JSON file. We will create a variable “Output” that will present the responses of our...

The next stage is to create a serverless ChatGPT API, which enables us to ping OpenAI API. We will build Azure functions that will ping the API, ask questions, and show the responses on the API. We will link out Python to the OpenAI...

In this video, you will learn to create a Microsoft 365 E5 account that we will need. We will use the free trial option. This is needed to set up Azure. If not, you can alternatively use Tempmail to create an account.
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After creating our first Azure function, we will test it by deploying it so we get some practice and then look at how it works so we know how an Azure function works when it actually becomes truly serverless.
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Here, we will verify that our Python commands are acceptable on the terminal. We will open the terminal and launch Python. We will define the path of the environment variables to help recognize the codes and commands.
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We've got another DIY Holiday Craft project for you to help your Christmas tree stand out this year! 🎄
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In this video, Jessie shows you how to make a Quilted

Ornament!

This is a unique project to...