⚡ Live Sandbox: AI Dev Tool: Datamimic dont let

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```python
# AI Dev Tool: Datamimic Starter Boilerplate
# Description: A production-ready starter boilerplate for building private, multilingual AI browsing applications with Mistral X Mozilla and Cloudflare Workers D1 Starter

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel
from supabase import create_client, Client

# Initialize Supabase client
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# Initialize FastAPI app
app = FastAPI()

# Define data models
class User(BaseModel):
    id: int
    name: str
    email: str

class AIRequest(BaseModel):
    text: str
    language: str

# Define routes
@app.get("/users/")
async def read_users():
    """
    Read all users from Supabase database
    """
    try:
        users = supabase.from_("users").select("*")
        return JSONResponse(content=json.dumps(users.execute

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