⚡ Live Playground: AI Dev Tool: The web server deployment

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS HPV Tracker
# Description: A production-ready API integration wrapper for tracking HPV and other microbes using bioengineered chewing gum data.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import sqlite3
import json

# Initialize the FastAPI application
app = FastAPI(title="HPV Tracker API", description="API for tracking HPV and other microbes using bioengineered chewing gum data.")

# Define the Pydantic model for HPV data
class HPVData(BaseModel):
    """Model for HPV data"""
    id: int
    patient_id: int
    gum_type: str
    microbe_type: str
    detection_date: str

# Define the Pydantic model for patient data
class PatientData(BaseModel):
    """Model for patient data"""
    id: int
    name: str
    age: int
    gender: str

# Create a SQLite database connection
def create_connection():
    """Create a connection to the SQLite database"""
    conn = None
    try:
        conn = sqlite3.connect("hpv_tracker.db")
        return conn
    except sqlite
⚡ Live Code Sandbox: AI Dev Tool: The web server deployment
