Create app.py

app.py

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+import cadquery as cq
+import numpy as np
+import matplotlib.pyplot as plt
+import pyvista as pv
+from reportlab.lib.pagesizes import letter
+from reportlab.pdfgen import canvas
+import gradio as gr
+
+# Function for Progressive Die Design
+def generate_die(length, width, thickness):
+    try:
+        plate = cq.Workplane("XY").box(length, width, thickness)
+        punch = cq.Workplane("XY").rect(10, 10).extrude(5).translate((length / 4, width / 4, thickness / 2))
+        die = plate.cut(punch)
+        filename = "progressive_die.step"
+        cq.exporters.export(die, filename)
+        return filename
+    except Exception as e:
+        return f"Error generating die: {str(e)}"
+
+# Function to visualize die in 3D
+def visualize_die(length, width, thickness):
+    try:
+        plate = cq.Workplane("XY").box(length, width, thickness)
+        punch = cq.Workplane("XY").rect(10, 10).extrude(5).translate((length / 4, width / 4, thickness / 2))
+        die = plate.cut(punch)
+
+        # Export to STL for visualization
+        cq.exporters.exportShape(die.val(), "STL", "progressive_die.stl")
+
+        # Visualize with PyVista
+        mesh = pv.read("progressive_die.stl")
+        plotter = pv.Plotter(off_screen=True)
+        plotter.add_mesh(mesh, color="blue")
+        screenshot = "progressive_die_visualization.png"
+        plotter.screenshot(screenshot)
+        return screenshot
+    except Exception as e:
+        return f"Error visualizing die: {str(e)}"
+
+# Function for Stress Analysis
+def stress_analysis(force, die_width, die_height, material_strength):
+    try:
+        stress = force / (die_width * die_height)
+        safety_factor = material_strength / stress
+
+        fig, ax = plt.subplots()
+        ax.bar(["Stress", "Material Strength"], [stress, material_strength])
+        ax.set_ylabel("Stress (MPa)")
+        ax.set_title("Stress Analysis")
+        plt.close(fig)
+
+        return f"Safety Factor: {round(safety_factor, 2)}", fig
+    except Exception as e:
+        return f"Error in stress analysis: {str(e)}", None
+
+# Function to generate PDF report
+def generate_pdf_report(data, filename="report.pdf"):
+    try:
+        c = canvas.Canvas(filename, pagesize=letter)
+        c.drawString(100, 750, "Simulation Report")
+        c.drawString(100, 730, f"Max Stress: {data.get('stress', 'N/A')} MPa")
+        c.drawString(100, 710, f"Safety Factor: {data.get('safety_factor', 'N/A')}")
+        c.save()
+        return filename
+    except Exception as e:
+        return f"Error generating report: {str(e)}"
+
+# Function for Tool Optimization
+def optimize_tool(speed, feed_rate, depth_of_cut, material):
+    try:
+        tool_life = 1000 / (speed * feed_rate * depth_of_cut)
+        recommended_speed = 0.8 * speed
+        recommended_feed_rate = 0.9 * feed_rate
+
+        return {
+            "Estimated Tool Life (hrs)": round(tool_life, 2),
+            "Recommended Speed (m/min)": round(recommended_speed, 2),
+            "Recommended Feed Rate (mm/rev)": round(recommended_feed_rate, 2)
+        }
+    except Exception as e:
+        return {"Error": str(e)}
+
+# Gradio interface functions
+def progressive_die_interface(length, width, thickness):
+    filename = generate_die(length, width, thickness)
+    visualization = visualize_die(length, width, thickness)
+    return filename, visualization
+
+def stress_analysis_interface(force, width, height, material_strength):
+    safety_factor, fig = stress_analysis(force, width, height, material_strength)
+    data = {"stress": force / (width * height), "safety_factor": safety_factor}
+    pdf_filename = generate_pdf_report(data)
+    return safety_factor, fig, pdf_filename
+
+def tool_optimization_interface(speed, feed_rate, depth_of_cut, material):
+    return optimize_tool(speed, feed_rate, depth_of_cut, material)
+
+# Create the Gradio Interface
+with gr.Blocks() as app:
+    gr.Markdown("## Press Tool AI Suite")
+    gr.Markdown("Select a tool below to get started:")
+
+    with gr.Tabs():
+        with gr.Tab("Progressive Die Design"):
+            gr.Markdown("### Enter Dimensions for Progressive Die")
+            length = gr.Number(label="Length (mm)", value=100)
+            width = gr.Number(label="Width (mm)", value=50)
+            thickness = gr.Number(label="Thickness (mm)", value=10)
+            die_output = gr.Textbox(label="Die Output File")
+            visualization_output = gr.Image(label="3D Visualization")
+            die_button = gr.Button("Generate Die")
+            die_button.click(progressive_die_interface, inputs=[length, width, thickness], outputs=[die_output, visualization_output])
+
+        with gr.Tab("Stress Analysis"):
+            gr.Markdown("### Enter Parameters for Stress Analysis")
+            force = gr.Number(label="Force (N)", value=10000)
+            die_width = gr.Number(label="Width (m)", value=0.05)
+            die_height = gr.Number(label="Height (m)", value=0.01)
+            material_strength = gr.Number(label="Material Strength (MPa)", value=250)
+            safety_factor_output = gr.Textbox(label="Safety Factor")
+            stress_chart = gr.Plot()
+            pdf_file = gr.File(label="Download Report")
+            stress_button = gr.Button("Analyze Stress")
+            stress_button.click(stress_analysis_interface, inputs=[force, die_width, die_height, material_strength], outputs=[safety_factor_output, stress_chart, pdf_file])
+
+        with gr.Tab("Tool Optimization"):
+            gr.Markdown("### Enter Machining Parameters for Tool Optimization")
+            speed = gr.Number(label="Cutting Speed (m/min)", value=100)
+            feed_rate = gr.Number(label="Feed Rate (mm/rev)", value=0.2)
+            depth_of_cut = gr.Number(label="Depth of Cut (mm)", value=1.0)
+            material = gr.Dropdown(choices=["Steel", "Aluminum", "Titanium"], label="Material", value="Steel")
+            optimization_results = gr.JSON(label="Optimization Results")
+            optimize_button = gr.Button("Optimize Tool")
+            optimize_button.click(tool_optimization_interface, inputs=[speed, feed_rate, depth_of_cut, material], outputs=optimization_results)
+
+# Launch the app
+app.launch()