Update README.md

README.md

@@ -1,12 +1,41 @@
 ---
-title: NL SQL
-emoji: 📈
-colorFrom: purple
-colorTo: gray
+title: SQLCoder Studio
+emoji: ⚡
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 6.10.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# ⚡ SQLCoder Studio
+
+A **Natural Language → SQL → Results** interface powered by [`defog/sqlcoder-7b-2`](https://huggingface.co/defog/sqlcoder-7b-2).
+
+## What it does
+
+1. You type a plain-English question about the database
+2. SQLCoder-7B-2 generates the SQL query
+3. The query executes against a local SQLite database
+4. Results are shown as a table (with CSV download)
+
+## Sample Database
+
+| Table | Description |
+|---|---|
+| `employees` | 12 employees with name, dept, salary, hire date |
+| `departments` | 5 departments with budget & location |
+| `projects` | 6 projects with status & budget |
+| `sales` | 10 sales records with product, amount, region |
+
+## Example Questions
+
+- *"Show me all employees in Engineering with salary above 120000"*
+- *"Which department has the highest total salary budget?"*
+- *"Who are the top 3 sales performers by total amount?"*
+- *"List all active projects with their budgets"*
+
+## Hardware
+
+Runs best on **GPU (T4/A10G)**. CPU inference is possible but slow (~1–2 min per query).