Thedeezat/Italian-ASR

Italian → Italian + English

Speak Italian; get Italian transcription and English translation.

• Default: openai/whisper-small + Helsinki-NLP/opus-mt-it-en
• Optional: copy your fine-tuned Whisper into models/whisper_finetuned_it/ and set ASR_REALTIME_MODE=finetuned in Space variables.

Add your model

1. Copy training outputs into models/whisper_finetuned_it/ (config.json, tokenizer files, weights).
2. Use Git LFS for large weight files when pushing this Space.
3. In Space Settings → Repository variables: ASR_REALTIME_MODE = finetuned.

Optional environment variables

Variable	Default	Meaning
ASR_WHISPER_MODEL	openai/whisper-small	HF Whisper id if not using local finetuned
ASR_REALTIME_MODE	quality	quality = hub Whisper; finetuned = load models/whisper_finetuned_it
ASR_WHISPER_FINETUNED_DIR	(see above)	Override path to finetuned folder
ASR_TRANSLATE	1	Set 0 to disable English translation
ASR_MIN_RMS	0.005	Silence gate

Local test

cd Italian-Speech-to-Text
python app.py

Configuration reference: https://huggingface.co/docs/hub/spaces-config-reference