#!/usr/bin/env python3
"""
Hello World Example: LLM-Generated C4A-Script
This example shows how to use the new generate_script() function to automatically
create C4A-Script automation from natural language descriptions and HTML.
"""
from crawl4ai.script.c4a_compile import C4ACompiler
def main():
print("🤖 C4A-Script Generation Hello World")
print("=" * 50)
# Example 1: Simple login form
html = """
"""
goal = "Fill in email 'user@example.com', password 'secret123', and submit the form"
print("📝 Goal:", goal)
print("🌐 HTML: Simple login form")
print()
# Generate C4A-Script
print("🔧 Generated C4A-Script:")
print("-" * 30)
c4a_script = C4ACompiler.generate_script(
html=html,
query=goal,
mode="c4a"
)
print(c4a_script)
print()
# Generate JavaScript
print("🔧 Generated JavaScript:")
print("-" * 30)
js_script = C4ACompiler.generate_script(
html=html,
query=goal,
mode="js"
)
print(js_script)
print()
# Example 2: Simple button click
html2 = """
Welcome!
"""
goal2 = "Click the 'Get Started' button"
print("=" * 50)
print("📝 Goal:", goal2)
print("🌐 HTML: Simple button")
print()
print("🔧 Generated C4A-Script:")
print("-" * 30)
c4a_script2 = C4ACompiler.generate_script(
html=html2,
query=goal2,
mode="c4a"
)
print(c4a_script2)
print()
print("✅ Done! The LLM automatically converted natural language goals")
print(" into executable automation scripts.")
if __name__ == "__main__":
main()