toxipredict-api / app.py
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import os
import threading
import warnings
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from dotenv import load_dotenv
warnings.filterwarnings("ignore", category=FutureWarning, module="google")
load_dotenv()
from firebase_auth import init_firebase
from models.loader import ModelLoader
from models.uncertainty_loss import HomoscedasticUncertaintyLoss
from config import CORS_ORIGINS, CORS_ORIGIN_REGEX, NUM_TASKS
model_loader = ModelLoader()
criterion = None
def _warmup():
global criterion
try:
model = model_loader.load_model()
criterion = HomoscedasticUncertaintyLoss(num_tasks=NUM_TASKS)
print("Model loaded and warmed up successfully")
except Exception as e:
print(f"Warmup warning (non-fatal): {e}")
@asynccontextmanager
async def lifespan(app: FastAPI):
init_firebase()
threading.Thread(target=_warmup, daemon=True).start()
print("ToxiPredict API started")
yield
print("Shutting down")
app = FastAPI(
title="ToxiPredict API",
description="Uncertainty-Aware Multi-Task GNN for Toxicophore Prediction",
version="1.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=CORS_ORIGINS,
allow_origin_regex=CORS_ORIGIN_REGEX,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
from routes.health import router as health_router
from routes.prediction import router as prediction_router
from routes.explain import router as explain_router
from routes.agent import router as agent_router
from routes.history import router as history_router
from routes.models import router as models_router
app.include_router(health_router)
app.include_router(prediction_router)
app.include_router(explain_router)
app.include_router(agent_router)
app.include_router(history_router)
app.include_router(models_router)
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)