Spaces:
Running
Running
A newer version of the Gradio SDK is available: 6.20.0
metadata
title: Ankira - German Dictation Trainer
emoji: ✍️
colorFrom: indigo
colorTo: green
sdk: gradio
sdk_version: 6.18.0
app_file: app.py
pinned: false
tags:
- track:backyard
- sponsor:modal
- achievement:llama
Ankira: German Dictation Trainer
A mobile-first dictation trainer. Enter the words you want to practice, get a short German dictation read aloud, write it by hand, then photograph your page to see a word-level diff against the original.
Original plan included importing well-remembered words from Anki cards for practice, thus ANKIra.
Models used
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
- https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct-GGUF
- https://huggingface.co/bosonai/higgs-audio-v3-tts-4b
Running
No models run in this Space — every inference is an HTTP call to a Modal endpoint. Configure these as Space secrets:
| Secret | Points at |
|---|---|
MODAL_LLM_URL |
LFM2.5 llama-server base URL (OpenAI-compatible chat completions) |
MODAL_TTS_URL |
Higgs Audio v3 TTS (/v1/audio/speech; base URL also accepted) |
MODAL_OCR_URL |
Qwen3-VL llama-server base URL (multimodal chat completions) |
MODAL_KEY |
Modal proxy-auth token id (sent as the Modal-Key header) |
MODAL_SECRET |
Modal proxy-auth token secret (sent as the Modal-Secret header) |
MODAL_KEY and MODAL_SECRET go together: the endpoints are deployed with
requires_proxy_auth=True, and the client only sends the auth headers when both
are set. Create the token in the Modal dashboard (Settings → Proxy Auth Tokens).
Our Team
- @nofate Michael Gamov
- @latticetower Tatiana Malygina
