# Super minimal app.py for troubleshooting
import gradio as gr
import sys

# Print Python version and loaded modules for debugging
print(f"Python version: {sys.version}")
print("Loaded modules:")
for name, module in sys.modules.items():
    if hasattr(module, "__version__"):
        print(f"  {name}: {module.__version__}")

# Simple function that doesn't require any ML models
def echo(text):
    return f"You said: {text}"
  
# @tool # This decorator's origin is unclear or its library is not imported.
# If it's from a library like langchain, ensure it's installed and imported.
# For a minimal example, it's safer to remove it if its definition isn't present.
def calculator(a: int, b: int) -> int:
    """Multiply two integers."""
    return a * b

# Create a simple Gradio interface
demo = gr.Interface(
    fn=calculator,
    inputs=[gr.Number(label="First Number (a)"), gr.Number(label="Second Number (b)")],
    outputs=gr.Number(label="Result (a * b)"),
    title="Micro Learning Platform - Debug Version",
    description="This is a minimal version for troubleshooting"
)

# Add a clear print statement when the app starts
print("Application starting...")

# Launch the application
if __name__ == "__main__":
    demo.launch()
    print("Application launched successfully!")