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This article is about how to use API to create an automated content production line. I think it is very practical, so I share it with you. I hope you can get something after reading this article. Let's take a look at it.

After completing the content review, I connected the crawling tool, content review API, and text summary generation API together. From capture to review to editing, I established an automated content production line, and the editorial team only needed to make recommendations for high-quality content.

I think of a "Content Moderation API" that I learned before, which can automatically detect images, text, and videos. Information related to pornography, advertising, political violence, and sensitive people can be audited and filtered out to reduce the risk of content violations.

There are pillows when you really doze off! Hurry up to write technical implementation documents.

Content audit API can be debugged in Huawei Cloud API Explorer. The call example is as follows:

Step 1: activate the service

First, activate text content review and image content review services in Huawei Cloud console.

Step 2: debug the service

Quick debugging can be done through API Explorer.

Click "content Review" in API Explorer.

Next, take "text content detection" as an example for debugging.

In the TextModeration interface, enter the parameters categories, items-text, items-type required by the interface. Considerations such as request parameters can be viewed in the document on the right side of the figure above.

Click the "debug" button above to debug, and you can view the results on the "debugging results" page on the right.

Similarly, debug Image content Detection:

When sending a request, choose the parameter image or url. Parameter information can also be viewed from the document page on the right.

After completing the content review, I connected the crawling tool, content review API, and text summary generation API together. From capture to review to editing, I established an automated content production line, and the editorial team only needed to make recommendations for high-quality content.

The above is how to use API to create an automated content production line, the editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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