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Jerich
Updated title to Talklas API. Added description of /translate-audio endpoint with speech detection feature. Included Features section (speech detection, supported models) and Supported Languages section.
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metadata
title: Talklas API
emoji: 🚀
colorFrom: blue
colorTo: green
sdk: docker
app_port: 8000
health_check_path: /health

Talklas API

This is a FastAPI app deployed on Hugging Face Spaces for audio transcription, translation, and text-to-speech (TTS). It includes the following endpoints:

  • /: Returns a simple health check response.
  • /health: Health check endpoint for Hugging Face Spaces.
  • /update-languages: Updates the source and target languages for STT and TTS models.
  • /translate-text: Translates text and converts it to speech.
  • /translate-audio: Transcribes audio, translates the text, and converts the translated text to speech. Includes speech detection to handle silent audio gracefully.

Features

  • Speech Detection: The /translate-audio endpoint detects if the audio is silent (no speech) and returns a user-friendly response.
  • Transcription (STT): Uses MMS or Whisper models to transcribe audio.
  • Translation (MT): Uses the NLLB-200 model to translate text between supported languages.
  • Text-to-Speech (TTS): Uses MMS-TTS models to convert translated text to speech.

Supported Languages

  • English
  • Tagalog
  • Cebuano
  • Ilocano
  • Waray
  • Pangasinan

Deployment

This app uses a Dockerfile to deploy a FastAPI app with Uvicorn. The health check path is set to /health to ensure Hugging Face Spaces can verify the app is running.