⚡ Live Sandbox: AI Dev Tool: AnkiDroid Google Play no

📝 Editable Code Sandbox

```python
# AI Dev Tool: AviaBird - Automatic Bird Identification System
# Category: Production Starter Boilerplate
# Description: FastAPI + Supabase template for building an automatic bird identification system

from fastapi import FastAPI, UploadFile, File
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from supabase import create_client, Client
from PIL import Image
import numpy as np
from tensorflow.keras.models import load_model
import os

# Initialize FastAPI app
app = FastAPI()

# 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)

# Define bird species model
class BirdSpecies(BaseModel):
    id: int
    name: str
    image_url: str

# Load bird identification model
model = load_model("bird_identification_model.h5")

# Define route for uploading bird images
@app.post("/identify_bird")
async def identify_bird(image: UploadFile = File(...)):
    """
    Identify bird species from uploaded image.

Args:
        image (UploadFile): Bird

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...