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| title: Talklas 2 | |
| emoji: ๐ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_port: 8000 | |
| health_check_path: /health | |
| # Talklas API | |
| This FastAPI app is deployed on Hugging Face Spaces for audio transcription, translation, and text-to-speech (TTS). The application loads all necessary models at startup and updates each model on demand, including a feature for detecting inappropriate language. 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. | |
| - `/text-to-speech`: This will generate a speech from the text and target language given to the server | |
| ## Features | |
| - **Speech Detection**: The `/translate-audio` endpoint detects if the audio is silent (no speech) and returns a user-friendly response. | |
| - **Transcription (STT)**: Uses Whisper for English and Tagalog source language and MMS for other Philippine languages 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. |