Fix README yaml metadata

README.md

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+---
+title: SQL Analyst OpenEnv
+emoji: 📊
+colorFrom: blue
+colorTo: green
+sdk: docker
+pinned: false
+---
+
+# SQL Analyst OpenEnv
+
+A real-world OpenEnv environment where an AI agent writes SQL queries against an e-commerce database to answer business questions.
+
+## Tasks
+
+| ID | Difficulty | Description |
+|----|-----------|-------------|
+| 1  | Easy      | Count completed orders in 2024 |
+| 2  | Medium    | Top 5 customers by revenue (JOIN + GROUP BY) |
+| 3  | Hard      | Category revenue ranking (CTE + window function) |
+
+## API Endpoints
+
+- `POST /reset` — load a task
+- `POST /step` — submit a SQL query, get reward 0.0–1.0
+- `GET /state` — current session state
+- `GET /docs` — interactive API documentation
+
+## Quick Start
+
+```bash
+# Reset to task 1
+curl -X POST https://p-karthik-mohan-sql-analyst-env.hf.space/reset \
+  -H "Content-Type: application/json" \
+  -d '{"task_id": 1}'
+
+# Submit a SQL query
+curl -X POST https://p-karthik-mohan-sql-analyst-env.hf.space/step \
+  -H "Content-Type: application/json" \
+  -d '{"action": "SELECT COUNT(*) AS total_orders FROM orders WHERE status = 'completed'"}'
+```
+
+## Reward Function
+
+Partial credit scoring — 0.0 to 1.0:
+
+- **0.30** — correct column names
+- **0.30** — correct row count
+- **0.40** — correct cell values
+
+## Running inference.py
+
+```bash
+export API_BASE_URL=https://api.openai.com/v1
+export MODEL_NAME=gpt-4o-mini
+export HF_TOKEN=your_api_key_here
+python inference.py
+```
+
+## Database Schema
+
+```
+customers  (customer_id, first_name, last_name, email, city, signup_date)  — 100 rows
+products   (product_id, product_name, category, price, stock)              — 30 rows
+orders     (order_id, customer_id, product_id, quantity, total_amount, order_date, status) — 600 rows
+```
+
+## Hardware Requirements
+
+- 2 vCPU, 8GB RAM minimum
+- No GPU required
+- SQLite — no external database needed