import gradio as gr import requests import json import os import time from collections import defaultdict 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 image_translate(source_type, image_url, file_store_key, target_language, request: gr.Request): rate_limit_ok, rate_limit_msg = check_rate_limit(request) if not rate_limit_ok: return rate_limit_msg, None if not target_language or not target_language.strip(): return "Error: Target language is required.", None payload = {"target_language": target_language.strip()} if source_type == "URL": if not image_url or not image_url.strip(): return "Error: Image URL is required.", None payload["url"] = image_url.strip() elif source_type == "File Store Key": if not file_store_key or not file_store_key.strip(): return "Error: File Store Key is required.", None payload["file_store_key"] = file_store_key.strip() else: return "Error: Invalid image source selected.", None try: response = requests.post( f"{BASE_URL}/ai/translate/image", headers=headers, json=payload ) response.raise_for_status() if response.headers.get("content-type", "").startswith("image/"): # The API returns the translated image directly from PIL import Image import io image = Image.open(io.BytesIO(response.content)) return "✅ Image translated successfully.", image else: try: error_data = response.json() return f"Error: API returned an error - {error_data.get('message', 'Unknown error')}", None except: return "Error: Received an unexpected response from the API.", None except requests.exceptions.RequestException as e: return f"Request failed: {str(e)}", None except Exception as e: return f"An unexpected error occurred: {str(e)}", None # ----------------- Gradio UI ------------------ with gr.Blocks() as demo: gr.Markdown("""
Extract and translate text from images into multiple languages.
For more details and API usage, see the documentation.