DEPLOY.md

DataSense HF Demo — layout

hf_demo/
├── app.py              # Gradio UI + examples
├── agent.py            # generate → execute loop (sandbox)
├── model_loader.py     # base + Peft adapter
├── config.py           # model IDs & env overrides
├── prompts.py          # SYSTEM_PROMPT
├── examples.py         # 6 built-in demo tasks
├── requirements.txt    # Space dependencies
├── README.md           # HF Space card (YAML frontmatter)
├── story.html          # Full project narrative + eval tables
├── eval_hackathon_benchmarks.json
├── data/
│   ├── sales.csv
│   ├── employees.csv
│   └── students.csv
└── assets/illustrations/   # story.html figures (9 PNGs)

Deploy checklist

1. Create Space (Gradio, GPU T4 minimum)
2. Upload this folder or git push
3. Add secret HF_TOKEN if the adapter repo is private
4. Set hardware to gpu-t4 in README frontmatter
5. Smoke-test all 6 examples after build

Model swap path

Checkpoint	DATASENSE_ADAPTER_MODEL
SFT v1 (demo default)	sanjaymalladi/DataSense-Modal-E2B-SFT
EVTE-STaR Micro-1	sanjaymalladi/DataSense-Modal-E2B-EVTE-Star-Micro1
EVTE-STaR (final)	sanjaymalladi/DataSense-Modal-E2B-EVTE-Star
SFT v2	sanjaymalladi/DataSense-Modal-E2B-SFT-v2

Project story

Open story.html for the full narrative, hackathon eval tables, and why we ship SFT v1 on the live demo.