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Create app.py
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app.py
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import gradio as gr
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from my_ai_module import MyAIOptimizer
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def process_and_optimize_blueprint(file, requirements):
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# Instantiate your AI model
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ai_optimizer = MyAIOptimizer()
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# Process the blueprint
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blueprint_features = ai_optimizer.process_blueprint(file)
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# Process the requirements
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requirements_features = ai_optimizer.process_requirements(requirements)
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# Generate optimizations
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optimizations = ai_optimizer.optimize_design(blueprint_features, requirements_features)
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# Estimate costs
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cost_estimate = ai_optimizer.estimate_costs(blueprint_features, requirements_features)
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return optimizations, cost_estimate
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# Define the Gradio interface
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iface = gr.Interface(
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fn=process_and_optimize_blueprint,
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inputs=[
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gr.inputs.File(label="Upload Blueprint"),
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gr.inputs.Textbox(lines=5, label="Enter Requirements"),
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],
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outputs=[
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gr.outputs.Textbox(label="Optimizations"),
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gr.outputs.Textbox(label="Cost Estimate"),
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],
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)
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# Launch the Gradio interface
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iface.launch()
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