README.md

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title: Semabox-MMS
emoji: 🎙
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: apache-2.0
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# Semabox API Development Guide Using Meta MMS

This guide will walk you through the process of developing an API for the Semabox tool using the MMS models. This API will allow users to transcribe, and process audio data in multiple languages. The guide covers setting up the environment, integrating the models, and creating endpoints.

## Table of Contents
1. **Environment Setup**
   - Prerequisites
   - Installing Dependencies
   - Setting Up the Models


## Similar Huggingface projects
- [Model Page](https://huggingface.co/facebook/mms-1b-all)
- [Akmyradov/TurkmenTTSweSTT](https://huggingface.co/spaces/Akmyradov/TurkmenTTSweSTT/tree/main)
- [ayymen/MMS-ASR](https://huggingface.co/spaces/ayymen/MMS-ASR)
- [Nymbo/MMS](https://huggingface.co/spaces/Nymbo/MMS)
- [hisabcloud/Meta-MMS](https://huggingface.co/spaces/hisabcloud/Meta-MMS)
- [Afrinetwork/sts](https://huggingface.co/spaces/Afrinetwork/sts)




## References
- [SeamlessM4T on Hugging Face](https://huggingface.co/spaces/facebook/seamless_m4t)
- [All Models](https://huggingface.co/spaces/Nymbo/whisper-webui-translate)
- [Tuitorial](https://www.youtube.com/watch?v=fTEwGcPqLa8)
- [Timesptamp](https://medium.com/@pierre_guillou/speech-to-text-get-transcription-with-speakers-from-large-audio-file-in-any-language-openai-8da2312f1617)
- [Tuitorial](https://github.com/linto-ai/whisper-timestamped)
- [more](#)
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Check out the configuration reference at [Hugging Face Spaces Config Reference](https://huggingface.co/docs/hub/spaces-config-reference).

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Semalab is going to be huge.