Update README.md

README.md

@@ -176,80 +176,6 @@ WHERE department = 'Engineering'
 AND salary > 75000;
 ```
 
-#### Example 2: Multi-Table JOIN Query
-
-```python
-# E-commerce Database Schema
-complex_schema = """
-CREATE TABLE users (
-    user_id INT PRIMARY KEY,
-    username TEXT,
-    email TEXT
-);
-
-CREATE TABLE orders (
-    order_id INT PRIMARY KEY,
-    user_id INT,
-    order_date DATE,
-    FOREIGN KEY (user_id) REFERENCES users(user_id)
-);
-
-CREATE TABLE products (
-    product_id INT PRIMARY KEY,
-    product_name TEXT,
-    category TEXT,
-    price DECIMAL
-);
-
-CREATE TABLE order_items (
-    item_id INT PRIMARY KEY,
-    order_id INT,
-    product_id INT,
-    quantity INT,
-    FOREIGN KEY (order_id) REFERENCES orders(order_id),
-    FOREIGN KEY (product_id) REFERENCES products(product_id)
-);
-"""
-
-# Complex Question requiring 4-table JOIN
-complex_question = """
-List the usernames and emails of users who have spent more than $500 in total on products
-in the 'Electronics' category.
-"""
-
-sql_result = inference_text_to_sql(model, tokenizer, complex_schema, complex_question)
-print(f"Generated SQL:\n{sql_result}")
-```
-
-**Expected Output:**
-```sql
-SELECT u.username, u.email 
-FROM users u 
-JOIN orders o ON u.user_id = o.user_id 
-JOIN order_items oi ON o.order_id = oi.order_id 
-JOIN products p ON oi.product_id = p.product_id 
-WHERE p.category = 'Electronics' 
-GROUP BY u.user_id, u.username, u.email 
-HAVING SUM(oi.quantity * p.price) > 500;
-```
-
-#### Example 3: Aggregation with GROUP BY
-
-```python
-agg_question = "Find the average salary by department for departments with more than 5 employees"
-
-sql_result = inference_text_to_sql(model, tokenizer, simple_schema, agg_question)
-print(f"Generated SQL:\n{sql_result}")
-```
-
-**Expected Output:**
-```sql
-SELECT department, AVG(salary) as avg_salary
-FROM employees 
-GROUP BY department 
-HAVING COUNT(*) > 5;
-```
-
 ## Training Details
 
 ### Dataset