Create app.py

app.py

@@ -0,0 +1,36 @@
+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()