rewriter-probe / README.md
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A newer version of the Gradio SDK is available: 6.19.0

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metadata
title: AnimoFlow Rewriter Probe
emoji: 🔤
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
short_description: Multilingual prompt rewriter probe (Qwen + RAFSL)
hardware: zero-a10g
suggested_hardware: zero-a10g
preload_from_hub:
  - Qwen/Qwen2.5-1.5B-Instruct
  - google/gemma-3-1b-it
  - sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2

AnimoFlow Rewriter Probe

Phase-0 verification of the multilingual prompt-rewriter front-end planned for AnimoFlow's text-to-motion pipeline. Loads a small instruction-tuned LLM + a multilingual MiniLM retriever over the HumanML3D corpus and rewrites arbitrary user input into HumanML3D-style English captions.

  • Model: Qwen/Qwen2.5-1.5B-Instruct by default (override via MODEL_REPO env / Space secret)
  • Retriever: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
  • Corpus: HumanML3D captions (52K unique)
  • Hardware: ZeroGPU (A10G burst, PRO-account free tier)

Usage

  • Gradio UI — type a motion prompt in any language, press Rewrite.
  • APIgradio_client.Client("AnimoFlow/rewriter-probe").predict(prompt, api_name="/rewrite") returns {rewritten, examples, latency_s, ...}.

Purpose

This Space is a measurement probe for the AnimoFlow rewriter plan, not a production service. Plan: vault/wiki/concepts/Prompt rewriter front-end plan in the AnimoFlow vault.