import gradio as gr import requests import json import os import time from collections import defaultdict from PIL import Image import io BASE_URL = "https://api.jigsawstack.com/v1" headers = { "x-api-key": os.getenv("JIGSAWSTACK_API_KEY") } # Rate limiting configuration request_times = defaultdict(list) MAX_REQUESTS = 20 # Maximum requests per time window TIME_WINDOW = 3600 # Time window in seconds (1 hour) def get_real_ip(request: gr.Request): """Extract real IP address using x-forwarded-for header or fallback""" if not request: return "unknown" forwarded = request.headers.get("x-forwarded-for") if forwarded: ip = forwarded.split(",")[0].strip() # First IP in the list is the client's else: ip = request.client.host # fallback return ip def check_rate_limit(request: gr.Request): """Check if the current request exceeds rate limits""" if not request: return True, "Rate limit check failed - no request info" ip = get_real_ip(request) now = time.time() # Clean up old timestamps outside the time window request_times[ip] = [t for t in request_times[ip] if now - t < TIME_WINDOW] # Check if rate limit exceeded if len(request_times[ip]) >= MAX_REQUESTS: time_remaining = int(TIME_WINDOW - (now - request_times[ip][0])) time_remaining_minutes = round(time_remaining / 60, 1) time_window_minutes = round(TIME_WINDOW / 60, 1) return False, f"Rate limit exceeded. You can make {MAX_REQUESTS} requests per {time_window_minutes} minutes. Try again in {time_remaining_minutes} minutes." # Add current request timestamp request_times[ip].append(now) return True, "" def validate_nsfw(url, request: gr.Request): # Check rate limit first rate_limit_ok, rate_limit_msg = check_rate_limit(request) if not rate_limit_ok: return None, rate_limit_msg, None, None if not url or not url.strip(): return None, "Error: Image URL is required.", None, None try: response = requests.post( f"{BASE_URL}/validate/nsfw", headers=headers, json={"url": url.strip()} ) response.raise_for_status() result = response.json() if not result.get("success"): error_msg = f"Error: API call failed - {result.get('message', 'Unknown error')}" return url, error_msg, None, None # Extract detailed information nsfw = result.get("nsfw", False) nudity = result.get("nudity", False) gore = result.get("gore", False) nsfw_score = result.get("nsfw_score", 0) nudity_score = result.get("nudity_score", 0) gore_score = result.get("gore_score", 0) # Format the output status_message = f"Overall NSFW: {'Yes' if nsfw else 'No'}" nudity_details = f"Nudity: {'Detected' if nudity else 'Not Detected'} (Score: {nudity_score:.4f})" gore_details = f"Gore: {'Detected' if gore else 'Not Detected'} (Score: {gore_score:.4f})" return url, status_message, nudity_details, gore_details except requests.exceptions.RequestException as e: return url, f"Request failed: {str(e)}", None, None except Exception as e: return url, f"An unexpected error occurred: {str(e)}", None, None with gr.Blocks() as demo: gr.Markdown("""
Quickly detect nudity, violence, and other NSFW content in images.
For more details and API usage, see the documentation.