README.md

metadata

title: DreamVoice
emoji: 🌙
colorFrom: indigo
colorTo: yellow
sdk: docker
app_file: app.py
pinned: true
license: mit
tags:
  - thousand-token-wood
  - openbmb
  - minicpm
  - voxcpm2
  - voice-cloning
  - bedtime-stories
  - indicf5
  - indictrans2

🌙 DreamVoice — Bedtime stories in Mom's own voice

Mom is traveling for work. Her 6-year-old can't sleep. She opens DreamVoice, taps 🐉 Dragons + 😄 Funny, and hears her mom's voice — cloned, warm, familiar — tell a story about a clumsy dragon who sneezes glitter. She's asleep in three minutes, smiling.

DreamVoice clones a parent's voice from a short recording and narrates a custom, AI-generated bedtime story in it — so a child hears a loved one read to them, even when they're far away.

Built for the Build Small Hackathon (Hugging Face × Gradio, June 2026) — Thousand Token Wood track.

Source

Public GitHub repo: https://github.com/Sushruths04/moonlit-voice

How it works

1. A parent records 30–60s of their voice (or uploads a clip).
2. openbmb/VoxCPM2 clones the voice.
3. The child picks a genre (animals, kingdom, space, dragons, ocean, forest) and mood (magical, funny, calming, dreamy), and optionally names the hero.
4. openbmb/MiniCPM5-1B writes a ~290-word, age-6, calming bedtime story.
5. VoxCPM2 narrates the story in the parent's cloned voice, ending on a gentle goodnight.
6. For Kannada: English story → ai4bharat/indictrans2-en-indic translation → ai4bharat/IndicF5 narration in the parent's voice.

Models & credits

Core models

Model	Purpose	Size	License
openbmb/VoxCPM2	English voice cloning + narration	2B	OpenBMB
openbmb/MiniCPM5-1B	Story generation	1B	OpenBMB
ai4bharat/IndicF5	Kannada voice cloning + narration	0.4B	MIT
ai4bharat/indictrans2-en-indic-1B	English → Kannada translation	1B	MIT

Fine-tuned models

Model	Purpose	Base	Training
mitvho09/IndicF5-Kannada-Bedtime-v2	Kannada bedtime narration	ai4bharat/IndicF5	Full fine-tune, 800 clips, 500 steps

All models ≤ 32B ✅

Privacy

The parent's recording is processed in memory and never stored on the server. It is used only to generate the narration for that session.

Languages

• English — VoxCPM2
• ಕನ್ನಡ Kannada — IndicF5 (fine-tuned) + IndicTrans2 translation

Infrastructure

• GPU: Hugging Face Spaces GPU Zero (T4 16GB)
• All models run locally on GPU — no external API calls

Run locally

pip install -r requirements.txt
python app.py

Env vars: HF_TOKEN (for gated models: IndicTrans2, IndicF5)