babadue/Backend_API_Seamless-m4t-v2
Demonstration of a web interface for inferring facebook/seamless-m4t-v2-large model via API calls, using Flask as the backend server.
This tool allows developers to quickly set up a backend server for a powerful language translation model. It takes text or speech in one language and outputs translated text or speech in another. It's designed for backend developers or ML engineers who need to integrate advanced translation capabilities into their applications.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward way to demonstrate or integrate the SeamlessM4T v2 translation model's text-to-text, text-to-speech, speech-to-text, and speech-to-speech functionalities via an API.
Not ideal if you are an end-user simply looking for a translation app; this is a developer's tool for building such applications.
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Jan 23, 2024
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