hitech-extract / README.md
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feat(spaces): Step 3 — VLM + Extract Space app.py, prompts shipped in core
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---
title: HiTech Extract
emoji: 📄
colorFrom: green
colorTo: blue
sdk: gradio
python_version: "3.12"
app_file: app.py
pinned: false
license: apache-2.0
---
Structured extraction Space for Hi-Tech AI Platform — text→JSON and image→JSON
(scanned POs, spec sheets, emails). Routed the high-frequency extraction here to
keep the 36 B VLM's quota low.
Model: `numind/NuExtract3` (4.5 B, ~9 GB)
Hardware: ZeroGPU `large`; `@spaces.GPU(duration=90)`
API contract (called by `core.clients`):
`predict(prompt: str, schema_json: str, image_path: str | None) -> str` (JSON),
at `api_name="/predict"`. `schema_json` is passed through as NuExtract3's
`template`.