docs: add Quickstart step 3 (Run the API)

Author: Kyle Spengler

README.md

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+# Serving App (FastAPI + scikit-learn)
+![Python 3.11](https://img.shields.io/badge/Python-3.11-blue)
+![FastAPI](https://img.shields.io/badge/FastAPI-ready-teal)
+![Docker](https://img.shields.io/badge/Docker-ready-informational)
+
+A tiny, production-style ML serving skeleton.  
+Trains a scikit-learn classifier (Iris demo) and serves predictions via FastAPI.
+
+- 🚀 FastAPI HTTP API (`/predict`, `/predict_batch`)
+- 🩺 Health & version endpoints
+- 🧪 Simple training script + reproducible model artifact
+- 🐳 Dockerfile for containerized deploys
+- 🤖 GitHub Actions CI (smoke test)
+
+---
+
+## Quickstart
+
+### 1) Environment
+
+#### Conda (recommended)
+```bash
+conda create -n serve_env python=3.11 -y
+conda activate serve_env
+pip install -r requirements.txt
+```
+#### Or venv
+```bash
+python -m venv .venv && source .venv/bin/activate
+pip install -r requirements.txt
+```
+### 2) Train the model
+```bash
+python -m training.train
+# expected: models/model.pkl and models/meta.json
+```
+### 3) Run the API
+```bash
+uvicorn serving_app.main:app --host 0.0.0.0 --port 8011
+# docs: http://localhost:8011/docs
+```
+
+
+
+
+
+
+
+