#!/usr/bin/env python3 """ Generate professional infographics using Nano Banana Pro. This script generates infographics with smart iterative refinement: - Uses Nano Banana Pro (Gemini 3 Pro Image Preview) for generation - Uses Gemini 3 Pro for quality review - Only regenerates if quality is below threshold - Supports 10 infographic types and industry style presets Usage: python generate_infographic.py "5 benefits of exercise" -o benefits.png --type list python generate_infographic.py "Company history 2010-2025" -o timeline.png --type timeline --style corporate python generate_infographic.py --list-options """ import argparse import os import subprocess import sys from pathlib import Path # Available options for quick reference INFOGRAPHIC_TYPES = [ "statistical", "timeline", "process", "comparison", "list", "geographic", "hierarchical", "anatomical", "resume", "social" ] STYLE_PRESETS = [ "corporate", "healthcare", "technology", "nature", "education", "marketing", "finance", "nonprofit" ] PALETTE_PRESETS = ["wong", "ibm", "tol"] DOC_TYPES = [ "marketing", "report", "presentation", "social", "internal", "draft", "default" ] def list_options(): """Print available types, styles, and palettes.""" print(""" ╔══════════════════════════════════════════════════════════════════════════════╗ ║ INFOGRAPHIC GENERATION OPTIONS ║ ╚══════════════════════════════════════════════════════════════════════════════╝ 📊 INFOGRAPHIC TYPES (--type): ────────────────────────────────────────────────────────────────────────────── statistical Data-driven infographic with charts, numbers, and statistics timeline Chronological events or milestones process Step-by-step instructions or workflow comparison Side-by-side comparison of options list Tips, facts, or key points in list format geographic Map-based data visualization hierarchical Pyramid or organizational structure anatomical Visual metaphor explaining a system resume Professional skills and experience visualization social Social media optimized content 🎨 STYLE PRESETS (--style): ────────────────────────────────────────────────────────────────────────────── corporate Navy/gold, professional business style healthcare Blue/cyan, trust-inducing medical style technology Blue/violet, modern tech style nature Green/brown, environmental organic style education Blue/coral, friendly academic style marketing Coral/teal/yellow, bold vibrant style finance Navy/gold, conservative professional style nonprofit Orange/sage/sand, warm human-centered style 🎨 COLORBLIND-SAFE PALETTES (--palette): ────────────────────────────────────────────────────────────────────────────── wong Wong's palette (7 colors) - most widely recommended ibm IBM colorblind-safe (8 colors) tol Tol's qualitative (12 colors) 📄 DOCUMENT TYPES (--doc-type): ────────────────────────────────────────────────────────────────────────────── marketing 8.5/10 threshold - Marketing materials (highest quality) report 8.0/10 threshold - Business reports presentation 7.5/10 threshold - Slides and talks social 7.0/10 threshold - Social media content internal 7.0/10 threshold - Internal use draft 6.5/10 threshold - Working drafts (lowest quality) default 7.5/10 threshold - General purpose ────────────────────────────────────────────────────────────────────────────── Examples: python generate_infographic.py "5 benefits of exercise" -o benefits.png --type list python generate_infographic.py "AI adoption 2020-2025" -o timeline.png --type timeline --style technology python generate_infographic.py "Product comparison" -o compare.png --type comparison --palette wong """) def main(): """Command-line interface.""" parser = argparse.ArgumentParser( description="Generate infographics using Nano Banana Pro with smart iterative refinement", formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" How it works: 1. (Optional) Research phase - gather facts using Perplexity Sonar 2. Describe your infographic in natural language 3. Nano Banana Pro generates it automatically with: - Smart iteration (only regenerates if quality is below threshold) - Quality review by Gemini 3 Pro - Document-type aware quality thresholds - Professional-quality output Examples: # Simple list infographic python generate_infographic.py "5 benefits of meditation" -o benefits.png --type list # Corporate timeline python generate_infographic.py "Company history 2010-2025" -o timeline.png --type timeline --style corporate # Healthcare statistics with colorblind-safe colors python generate_infographic.py "Heart disease statistics" -o stats.png --type statistical --style healthcare --palette wong # Statistical infographic WITH RESEARCH for accurate data python generate_infographic.py "Global AI market size and growth" -o ai_market.png --type statistical --research # Social media infographic python generate_infographic.py "Save water tips" -o water.png --type social --style marketing # List all available options python generate_infographic.py --list-options Environment Variables: OPENROUTER_API_KEY Required for AI generation """ ) parser.add_argument("prompt", nargs="?", help="Description of the infographic content") parser.add_argument("-o", "--output", help="Output file path") parser.add_argument("--type", "-t", choices=INFOGRAPHIC_TYPES, help="Infographic type preset") parser.add_argument("--style", "-s", choices=STYLE_PRESETS, help="Industry style preset") parser.add_argument("--palette", "-p", choices=PALETTE_PRESETS, help="Colorblind-safe palette") parser.add_argument("--background", "-b", default="white", help="Background color (default: white)") parser.add_argument("--doc-type", default="default", choices=DOC_TYPES, help="Document type for quality threshold (default: default)") parser.add_argument("--iterations", type=int, default=3, help="Maximum refinement iterations (default: 3)") parser.add_argument("--api-key", help="OpenRouter API key (or use OPENROUTER_API_KEY env var)") parser.add_argument("-v", "--verbose", action="store_true", help="Verbose output") parser.add_argument("--research", "-r", action="store_true", help="Research the topic first using Perplexity Sonar for accurate data") parser.add_argument("--list-options", action="store_true", help="List all available types, styles, and palettes") args = parser.parse_args() # Handle --list-options if args.list_options: list_options() return # Validate required arguments if not args.prompt: parser.error("prompt is required unless using --list-options") if not args.output: parser.error("--output is required") # Check for API key api_key = args.api_key or os.getenv("OPENROUTER_API_KEY") if not api_key: print("Error: OPENROUTER_API_KEY environment variable not set") print("\nFor AI generation, you need an OpenRouter API key.") print("Get one at: https://openrouter.ai/keys") print("\nSet it with:") print(" export OPENROUTER_API_KEY='your_api_key'") print("\nOr use --api-key flag") sys.exit(1) # Find AI generation script script_dir = Path(__file__).parent ai_script = script_dir / "generate_infographic_ai.py" if not ai_script.exists(): print(f"Error: AI generation script not found: {ai_script}") sys.exit(1) # Build command cmd = [sys.executable, str(ai_script), args.prompt, "-o", args.output] if args.type: cmd.extend(["--type", args.type]) if args.style: cmd.extend(["--style", args.style]) if args.palette: cmd.extend(["--palette", args.palette]) if args.background != "white": cmd.extend(["--background", args.background]) if args.doc_type != "default": cmd.extend(["--doc-type", args.doc_type]) if args.iterations != 3: cmd.extend(["--iterations", str(args.iterations)]) if args.verbose: cmd.append("-v") if args.research: cmd.append("--research") # Execute — pass API key via environment to avoid exposure in process listings try: env = os.environ.copy() if api_key: env["OPENROUTER_API_KEY"] = api_key result = subprocess.run(cmd, check=False, env=env) sys.exit(result.returncode) except Exception as e: print(f"Error executing AI generation: {e}") sys.exit(1) if __name__ == "__main__": main()