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A newer version of the Gradio SDK is available: 6.20.0

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metadata
title: GrandVoice
emoji: 🌸
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.44.1
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
short_description: Multilingual voice companion and translator
tags:
  - gradio
  - voice
  - translation
  - multilingual
  - build-small-hackathon
  - backyard
  - openai
  - offbrand
  - demo
  - sharing
  - fieldnotes
  - track:backyard
  - sponsor:openai
  - achievement:offbrand
  - achievement:sharing
  - achievement:fieldnotes

GrandVoice

GrandVoice is a multilingual voice companion and translator built for the Hugging Face Build Small Hackathon.

It uses a small model, llama-3.1-8b-instant, through Groq's OpenAI-compatible API. That keeps the project under the hackathon's 32B parameter rule while still making the demo fast enough for voice interaction.

What it does

  • Voice companion with four modes: Caring Companion, Wise Elder, Friendly Tutor, and Story Companion
  • Translation across English, Hindi, Tamil, Telugu, Spanish, French, Japanese, Portuguese, Arabic, and Mandarin
  • Speech input through Groq Whisper transcription
  • Speech output through Microsoft neural voices using edge-tts
  • Built-in demo video player for first-time users
  • Repeat-send behavior: after a reply, pressing Send again replays the last message, so changing companion or language immediately produces a new answer
  • Downloadable conversation traces for sharing examples on the Hub
  • Kid- and elder-aware safety instructions in the companion prompt

Space setup

Do not put a shared Groq key in Space secrets for the public demo. A public shared key can hit minute or daily limits quickly.

GrandVoice is designed as a bring-your-own-key app:

  1. The user opens console.groq.com.
  2. The user creates a free Groq API key.
  3. The user pastes it into the API key box inside GrandVoice.
  4. The key is used only for that browser session.

Hackathon fit

  • Built on Gradio and ready for Hugging Face Spaces
  • Uses an 8B model, below the 32B limit
  • Includes a polished app UI rather than a default demo shell
  • Built and debugged with Codex, with the reliability fixes and UI polish documented in CODEX_NOTES.md

Files to upload

  • app.py
  • requirements.txt
  • packages.txt
  • README.md
  • CODEX_NOTES.md
  • HUGGINGFACE_UPLOAD_GUIDE.md
  • HACKATHON_PRIZE_FIT.md
  • BLOG_POST.md
  • FIELD_NOTES_DRAFT.md
  • DEMO_SCRIPT.md
  • SUBMISSION_STEPS.md
  • demo.mp4

Submission links

Team

  • Hugging Face username: vishwakayireddi1234