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Creating a Bing Image Search App

Creating a Bing Image Search App

Learn to build an image search engine using the Azure Bing Search services.

We'll cover the following...

Introduction

In this lesson, we’re going to build our own image search engine using the Azure Bing service.

Implementation

We’ll follow the steps mentioned below to build the image search engine:

  • First, we’ll write a Python script to get the image search results for a given search term using the Bing Search REST API calls.

  • Second, we’ll create a nice UI to render the search results which makes the application usable through UI. Like the course, it does not focus on UI development, all the HTML and CSS files are provided in the code block for your reference.

Now let’s implement the application.

The Python script to fetch the image search results

As discussed, we’ll call the Bing Search API to fetch the image search results.

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Please provide values for the following:
bing_search_endpoint
Not Specified...
bing_search_key
Not Specified...
import requests
search_term = "Puppies"
headers = {"Ocp-Apim-Subscription-Key": bing_search_key}
params = {
    "q": search_term,
    "license": "public",
    "imageType": "photo"
}
response = requests.get(bing_search_endpoint + "v7.0/images/search",
                        headers=headers,
                        params=params)
search_results = response.json()
thumbnail_urls = []
for img in search_results["value"]:
    thumbnail_urls.append(img["thumbnailUrl"])
for urls in thumbnail_urls:
    print(urls)

Explanation:

  • In line 1, we import the required package.

  • In line 3, we define the term for which we need to search the images.

  • In line 5, we define the ...