Setting Up Your Azure Account
- Visit the Azure Portal and sign in with your Microsoft account.
- Once signed in, create a new account if necessary to access Azure services.
- Navigate to the Azure Cognitive Services page to explore the services available.
- Set up a billing account if you plan to use paid features.
Create Azure Cognitive Services Resource
- In the Azure Portal, click on Create a resource.
- Search for "Cognitive Services" in the Marketplace and select it.
- Choose your desired resource tier and APIs you would like to use. This could be Vision, Speech, Language, etc.
- Provide the necessary details, such as Resource Group, Region, and Pricing tier, then click Review + create followed by Create.
Retrieve API Keys and Endpoint
- Once the deployment is complete, go to the Resource Overview page.
- Retrieve the API key(s) and Endpoint URL from the Keys and Endpoint section. These will be essential for your application.
Set Up Visual Studio Code
- Ensure you have Visual Studio Code installed. If not, download it from the official website.
- Install the necessary extensions, such as Azure Tools, for integration.
- Open Visual Studio Code and sign in to your Azure account through the Azure extension sidebar if you haven't already.
Create a New Project in Visual Studio Code
- Open Visual Studio Code and click on File then New Folder to create a workspace for your project.
- Within your workspace, create a new file (e.g.,
index.js for a Node.js project).
Install Necessary Packages
- Open a terminal in Visual Studio Code and install the required Azure SDK packages. For example, in a Node.js project, you would run:
npm install @azure/cognitiveservices-computervision ms-rest-azure
Write Code to Use Cognitive Services
- In your project file (e.g.,
index.js), require the necessary modules and set up configuration with your API Key and Endpoint.
const msRest = require('ms-rest-azure');
const ComputerVisionClient = require('@azure/cognitiveservices-computervision');
const key = 'YOUR_API_KEY';
const endpoint = 'YOUR_ENDPOINT';
// Create client
const credentials = new msRest.ApiKeyCredentials({ inHeader: { 'Ocp-Apim-Subscription-Key': key } });
const client = new ComputerVisionClient.ComputerVisionClient(credentials, endpoint);
// Sample function to analyze an image
async function analyzeImage(url) {
const analysis = await client.analyzeImage(url, { visualFeatures: ["Categories", "Tags", "Description"] });
console.log('Categories:', analysis.categories);
console.log('Tags:', analysis.tags);
console.log('Description:', analysis.description);
}
// Execute function
analyzeImage('IMAGE_URL');
- Replace
'YOUR_API_KEY', 'YOUR_ENDPOINT', and 'IMAGE_URL' with your actual API key, endpoint, and an image URL you want to analyze.
Run Your Application
- To execute your application, run the following command in the terminal:
node index.js
- Verify the output from the console to ensure that everything is working as expected.
Debugging and Additional Configurations
- Use the Visual Studio Code debugger to step through your code and inspect variables, assuring everything is set up correctly.
- Leverage extensions like Azure Storage and Azure App Service to further extend your integration with Azure services.
