Update app.py

app.py

@@ -1,171 +1,52 @@
 import gradio as gr
 import numpy as np
 import matplotlib.pyplot as plt
-import cadquery as cq
 import pyvista as pv
-from ansys.mapdl.core import launch_mapdl
-from reportlab.lib.pagesizes import letter
-from reportlab.pdfgen import canvas
 import os
 
-# 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 to generate and display combined graph for multiple parameters
-def generate_combined_graph(force, die_width, die_height, material_strength, punch_size):
-    try:
-        # Stress = Force / Area (Die Width * Die Height)
-        stress = force / (die_width * die_height)
-        safety_factor = material_strength / stress  # Safety Factor = Material Strength / Stress
-
-        # Tool life calculation (simplified estimation)
-        tool_life = 1000 / (force * punch_size)
-
-        # Data for plotting (Multiple parameters)
-        x = np.array([force, die_width, die_height, punch_size])
-        y_stress = np.array([stress, safety_factor, tool_life])
-        
-        # Multiple parameters (force vs material strength, safety factor vs stress, etc.)
-        plt.figure(figsize=(10, 6))
-        
-        # Plot multiple curves
-        plt.plot(x, y_stress, label="Stress vs Force and Tool Life")
-        plt.plot(x, np.array([safety_factor] * len(x)), label="Safety Factor vs Stress", linestyle='--')
-        
-        # Labels and Titles
-        plt.xlabel("Force, Die Width, Die Height, Punch Size")
-        plt.ylabel("Values")
-        plt.title("Combined Simulation Parameters for Die Design and Stress Analysis")
-        
-        # Adding legend
-        plt.legend()
-        
-        # Display the graph
-        plt.tight_layout()
-        plt.close()
-        
-        return "Graph generated successfully."
-
-    except Exception as e:
-        return f"Error in generating graph: {str(e)}"
-
-
-# Tool Optimization Function
-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 for Progressive Die Design and Stress Analysis
-def stress_analysis_interface(force, die_width, die_height, material_strength, simulation_tool):
-    if simulation_tool == "Python":
-        # Generate and plot combined graph
-        result = generate_combined_graph(force, die_width, die_height, material_strength, punch_size=10)
-        return result  # Show graph or return result for Gradio output
-    
-    elif simulation_tool == "ANSYS":
-        # Run ANSYS-based simulation
-        result = run_ansys_simulation(force, die_width, die_height, material_strength)
-        return result
-
-    elif simulation_tool == "SolidWorks":
-        # Run SolidWorks-based simulation
-        result = solidworks_stress_analysis(force, die_width, die_height, material_strength)
-        return result
-
-    else:
-        return "Invalid simulation tool selected", None
-
-# Gradio Interface for Press Tool AI Suite
-with gr.Blocks() as app:
-    gr.Markdown("## Press Tool AI Suite")
-    
-    with gr.Tabs():
-        with gr.Tab("Progressive Die Design"):
-            # Inputs for Progressive Die Design
-            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(
-                lambda l, w, t: (generate_die(l, w, t), visualize_die(l, w, t)),
-                inputs=[length, width, thickness],
-                outputs=[die_output, visualization_output],
-            )
-
-        with gr.Tab("Stress Analysis"):
-            # Inputs 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)
-            simulation_tool = gr.Dropdown(choices=["Python", "ANSYS", "SolidWorks"], label="Simulation Tool", value="Python")
-            
-            stress_output = gr.Textbox(label="Simulation Result")
-            stress_chart = gr.Plot()  # This will display the combined graph
-            stress_button = gr.Button("Analyze Stress and Visualize")
-            stress_button.click(
-                stress_analysis_interface,
-                inputs=[force, die_width, die_height, material_strength, simulation_tool],
-                outputs=[stress_output, stress_chart],
-            )
-
-        with gr.Tab("Tool Optimization"):
-            # Inputs 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(
-                optimize_tool,
-                inputs=[speed, feed_rate, depth_of_cut, material],
-                outputs=optimization_results,
-            )
-
-# Launch the app
-app.launch()
+# Sample simulation function for illustration purposes
+def run_simulation(material_yield, part_thickness, press_force, punch_speed, safety_factor):
+    # Generate dummy data for simulation results
+    x = np.linspace(0, 10, 100)
+    y = np.sin(x) * material_yield * part_thickness / safety_factor  # Simulated stress distribution
+
+    # Plotting the stress analysis graph
+    plt.figure(figsize=(6, 4))
+    plt.plot(x, y, label="Stress Distribution")
+    plt.title(f"Stress Analysis: Yield={material_yield}, Thickness={part_thickness}, Force={press_force}, Speed={punch_speed}")
+    plt.xlabel("X-axis (Position)")
+    plt.ylabel("Stress (MPa)")
+    plt.legend()
+    plt.grid(True)
+    graph_output_path = "/tmp/simulation_output.png"
+    plt.savefig(graph_output_path)
+    plt.close()
+
+    # 3D Model Visualization using PyVista
+    mesh = pv.Sphere(radius=part_thickness)  # Dummy sphere, replace with actual part geometry
+    plotter = pv.Plotter()
+    plotter.add_mesh(mesh)
+    plotter.view_xy()
+    plotter_output_path = "/tmp/3d_model_output.png"
+    plotter.screenshot(plotter_output_path)
+
+    return graph_output_path, plotter_output_path
+
+# Gradio interface for input parameters and output visualization
+iface = gr.Interface(
+    fn=run_simulation,
+    inputs=[
+        gr.Slider(minimum=100, maximum=500, default=200, label="Material Yield Strength (MPa)"),
+        gr.Slider(minimum=0.5, maximum=10.0, default=3.0, label="Part Thickness (mm)"),
+        gr.Slider(minimum=5000, maximum=20000, default=12000, label="Press Force (N)"),
+        gr.Slider(minimum=1, maximum=5, default=2, label="Punch Speed (m/s)"),
+        gr.Slider(minimum=1.0, maximum=3.0, default=1.5, label="Safety Factor"),
+    ],
+    outputs=[
+        gr.Image(type="filepath", label="Stress Analysis Graph"),
+        gr.Image(type="filepath", label="3D Model Visualization")
+    ]
+)
+
+# Launch the interface
+iface.launch()