Metadata-Version: 2.4
Name: meddroid-sdk
Version: 0.1.2
Summary: MedDroid SDK — fine-tune medical models, build RAGs, run local inference, and publish to the MedDroid Marketplace.
Author-email: "Dr. Sanjay Anbu" <support@medicalandroid.com>
Maintainer-email: "Dr. Sanjay Anbu" <support@medicalandroid.com>
License-Expression: Apache-2.0
Project-URL: Homepage, https://medicalandroid.com/#/model-studio
Project-URL: Marketplace, https://medicalandroid.com
Keywords: medical,llm,fine-tuning,rag,healthcare,meddroid
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.31
Requires-Dist: rich>=13.0
Provides-Extra: train
Requires-Dist: transformers>=4.40; extra == "train"
Requires-Dist: peft>=0.10; extra == "train"
Requires-Dist: trl>=0.8; extra == "train"
Requires-Dist: datasets>=2.18; extra == "train"
Requires-Dist: accelerate>=0.29; extra == "train"
Provides-Extra: serve
Requires-Dist: fastapi>=0.110; extra == "serve"
Requires-Dist: uvicorn>=0.29; extra == "serve"
Provides-Extra: rag
Requires-Dist: sentence-transformers>=2.6; extra == "rag"
Requires-Dist: chromadb>=0.4; extra == "rag"

# MedDroid SDK (Python) — `meddroid-sdk`

Fine-tune medical models, build RAGs, run local inference, and publish to the
**MedDroid Marketplace** — from one CLI.

> **Status:** early scaffold (v0.1.0). The training / RAG / serving helpers wrap
> standard open-source tooling and work today; `submit` posts to the live
> Marketplace intake (the `medicalandroid-chat` Worker → Supabase) and falls back
> to writing `submission.json` only if that's unreachable. Not yet published to
> PyPI — install from source for now.
>
> Your files, data and compute stay on **your own machine/GPU**; we only store the
> submission's link + metadata.

PyPI distribution name is **`meddroid-sdk`**; the import module and CLI are
**`meddroid`**.

## Install

```bash
# once published:  pip install meddroid-sdk

# from source (this folder) for now
pip install -e .

# with training / serving / rag extras
pip install -e ".[train,serve,rag]"
```

## Use

```bash
meddroid login
meddroid train --base phi3-mini --data data.jsonl --out ./my-model
meddroid rag build ./my-files --out ./my-rag
meddroid rag query ./my-rag "What is the sepsis bundle timeline?"
meddroid serve ./my-model --port 8000
meddroid submit --name "Sepsis EWS" --brand "My Clinic" \
  --link https://huggingface.co/your-org/sepsis-ews --public --price 49
```

Base models: `medgemma-4b`, `openbiollm-8b`, `meditron-7b`, `phi3-mini` (or any
Hugging Face repo id). Each keeps its own licence — review before commercial use.

**We store the link, model card and brand — never your weights.** Host the files
on Hugging Face / Kaggle / Drive. Public listings can be monetised; private ones
are invite-only.

Guided, step-by-step version: <https://medicalandroid.com/#/model-studio>
