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Use Case

Language translation and interpretation

Generative AI models like Language Models (LLMs) and image generators can be beneficial in language translation and interpretation. LLMs such as ChatGPT, developed by OpenAI, can transform given input in one language to output in another. A user can type a sentence in English and request it to be translated to French, for instance. The model, trained on a comprehensive dataset, can understand the context and provide a translated version with accurate grammar and syntax.

Image generators powered by AI can be used to interpret sign languages. A user can input an image of a sign language gesture, and the image generator, using its training data, can identify the gesture and generate a corresponding text in a chosen language. This represents a significant breakthrough in bridging communication gaps for the deaf and hard-of-hearing community.

How to build with Clevis

Text Input

Input the text to be translated

HTTP Request

Send the input text to a translation API to get the translated text

Display Output

Display the translated text from the API

Text Input

Input the source language for interpretation

Text Input

Input the target language for interpretation

This description relates to an example application called 'Language Translation and Interpretation' that was built using a tool called Clevis. This application demonstrates what you can achieve with an AI tool like Clevis. It's also worth mentioning that you can build similar apps within the same area using the Clevis tool.

The application functions in several straightforward steps. First, the user is required to input a text that they wish to translate (Text Input). This could be anything from a simple sentence to a full paragraph depending on specific user needs.

Once the text is inputted, it is sent to a translation API via an Http Request. This API performs the necessary translation of the text behind the scenes.

After the translation process, the translated text from the API is displayed to the user (Display Output). This output will be a direct translation of the original inputted text using AI techniques.

In addition to translation, the app offers text interpretation services. The user will need to input the source language for interpretation (Text Input) and specify the target language for the same (Text Input). This allows for more precise translation and interpretation services across various language pairs.

This process makes the Language Translation and Interpretation application a powerful tool for dynamically handling multiple language translation and interpretation tasks.

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