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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A newer version of the Gradio SDK is available: 6.19.0

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metadata
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.