app.py

import sqlite3

# Step 1: Connect to the database (or create it if it doesn't exist)
conn = sqlite3.connect('huggingface_app.db')
cursor = conn.cursor()

# Step 2: Create tables
def create_tables():
    cursor.execute('''
        CREATE TABLE IF NOT EXISTS users (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            username TEXT NOT NULL,
            email TEXT UNIQUE
        )
    ''')
    cursor.execute('''
        CREATE TABLE IF NOT EXISTS model_interactions (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            user_id INTEGER,
            query TEXT NOT NULL,
            response TEXT NOT NULL,
            model_name TEXT NOT NULL,
            timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
            FOREIGN KEY (user_id) REFERENCES users(id)
        )
    ''')
    print("Tables created successfully!")

# Step 3: Insert Data
def insert_user(username, email):
    cursor.execute('''
        INSERT INTO users (username, email) 
        VALUES (?, ?)
    ''', (username, email))
    conn.commit()
    print(f"User {username} added.")

def log_interaction(user_id, query, response, model_name):
    cursor.execute('''
        INSERT INTO model_interactions (user_id, query, response, model_name)
        VALUES (?, ?, ?, ?)
    ''', (user_id, query, response, model_name))
    conn.commit()
    print("Interaction logged.")

# Step 4: Query Data
def get_user_interactions(user_id):
    cursor.execute('''
        SELECT * FROM model_interactions WHERE user_id = ?
    ''', (user_id,))
    return cursor.fetchall()

# Step 5: Close connection
def close_connection():
    conn.close()
    print("Database connection closed.")

# Initialize the database
if __name__ == "__main__":
    create_tables()
    
    # Example usage
    insert_user("test_user", "test@example.com")
    log_interaction(1, "What is AI?", "AI stands for Artificial Intelligence.", "gpt-4")
    
    # Fetch user interactions
    interactions = get_user_interactions(1)
    for interaction in interactions:
        print(interaction)

    close_connection()