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Thedeezat/
Italian-ASR

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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.

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

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

bash

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