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from contextlib import asynccontextmanager
from fastapi import FastAPI
from transformers import (
AutoImageProcessor,
AutoModel,
)
import src.config as config
from src.router import router
@asynccontextmanager
async def lifespan(app: FastAPI):
# Load models during startup
app.state.model = AutoModel.from_pretrained(
config.MODEL_ID,
trust_remote_code=True,
low_cpu_mem_usage=True, # Activates memory-efficient loading
device_map="auto", # Distributes layers across devices
)
app.state.preprocessor = AutoImageProcessor.from_pretrained(
config.MODEL_ID,
trust_remote_code=True,
use_fast=True,
)
yield
# Cleanup during shutdown (e.g., GPU memory)
del app.state.model
del app.state.preprocessor
app = FastAPI(
description="Mushrooms Classification API", version="0.1.0", lifespan=lifespan
)
@app.get("/")
async def root():
return {"message": "Welcome to Mushrooms Classification API 🍄"}
app.include_router(router)
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