3467dbcf03
Full-stack application for predicting where humans look in images using DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction, hotspot detection, AOI analysis, rule-based insights, optional Claude AI design analysis, and professional PDF report generation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
import logging
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.api.router import api_router
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from app.config import settings
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logger = logging.getLogger("olivas")
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Startup: load ML models
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logger.info(f"Starting OliVAS backend (device={settings.device})")
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from app.services.saliency.model_manager import model_manager
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try:
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model_manager.load_models(device=settings.device)
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logger.info(f"Models loaded: {list(model_manager.models.keys())}")
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except Exception as e:
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logger.warning(f"Failed to load ML models: {e}. Analysis will fail until models load.")
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yield
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# Shutdown
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model_manager.cleanup()
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logger.info("OliVAS backend shut down")
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app = FastAPI(
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title="OliVAS",
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description="Open-Source Visual Attention Software by OLIVER",
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version="0.1.0",
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lifespan=lifespan,
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.cors_origins_list,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(api_router)
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