app.py

import gradio as gr
from my_ai_module import MyAIOptimizer

def process_and_optimize_blueprint(file, requirements):
    # Instantiate your AI model
    ai_optimizer = MyAIOptimizer()

    # Process the blueprint
    blueprint_features = ai_optimizer.process_blueprint(file)

    # Process the requirements
    requirements_features = ai_optimizer.process_requirements(requirements)

    # Generate optimizations
    optimizations = ai_optimizer.optimize_design(blueprint_features, requirements_features)

    # Estimate costs
    cost_estimate = ai_optimizer.estimate_costs(blueprint_features, requirements_features)

    return optimizations, cost_estimate

# Define the Gradio interface
iface = gr.Interface(
    fn=process_and_optimize_blueprint,
    inputs=[
        gr.inputs.File(label="Upload Blueprint"),
        gr.inputs.Textbox(lines=5, label="Enter Requirements"),
    ],
    outputs=[
        gr.outputs.Textbox(label="Optimizations"),
        gr.outputs.Textbox(label="Cost Estimate"),
    ],
)

# Launch the Gradio interface
iface.launch()