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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with AI Search Integration # ============================================================================== # This production-ready boilerplate integrates FastAPI, Pydantic v2, and AI search # functionality for every photo and every frame of video on macOS. from fastapi import FastAPI, HTTPException from pydantic import BaseModel from typing import List, Optional import os import json from PIL import Image import cv2 import numpy as np from transformers import AutoModel, AutoTokenizer # Initialize the FastAPI app app = FastAPI() # Define the Pydantic model for AI search results class AISearchResult(BaseModel): """AI search result model""" image_path: str score: float label: str # Define the Pydantic model for video frame analysis class VideoFrameAnalysis(BaseModel): """Video frame analysis model""" frame_index: int frame_path: str ai_search_results: List[AISearchResult] # Load the AI model and tokenizer model_name = "densenet121" model = AutoModel.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name) # Define
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