Update app.py

app.py

@@ -1,64 +1,79 @@
+import cadquery as cq
+import matplotlib.pyplot as plt
+import numpy as np
+import trimesh
 import gradio as gr
-from huggingface_hub import InferenceClient
+from cadquery.occ_impl.exporters import exportShape
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# Function to create the CAD model
+def create_bird_ear_shell(height, radius, thickness):
+    outer_shell = (
+        cq.Workplane("XY")
+        .lineTo(0, height)                # Vertical height
+        .radiusArc((radius, 0), radius)  # Curve to base
+        .close()
+        .revolve()                       # Revolve to create 3D shape
+    )
+    inner_shell = (
+        cq.Workplane("XY")
+        .lineTo(0, height - thickness)
+        .radiusArc((radius - thickness, 0), radius - thickness)
+        .close()
+        .revolve()
+    )
+    shell = outer_shell.cut(inner_shell)
+    return shell
 
+# Function to generate a 2D visualization
+def generate_2d_image(height, radius):
+    theta = np.linspace(0, 2 * np.pi, 100)
+    x_outer = radius * np.cos(theta)
+    y_outer = height * np.sin(theta) / max(np.sin(theta))
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    plt.figure(figsize=(6, 6))
+    plt.plot(x_outer, y_outer, label="Outer Shell", color="blue")
+    plt.fill_between(x_outer, y_outer, color="lightblue", alpha=0.5)
+    plt.axhline(0, color="black", linewidth=0.5, linestyle="--")
+    plt.axvline(0, color="black", linewidth=0.5, linestyle="--")
+    plt.title("2D Cross-Section of Ear-Like Bird Shell")
+    plt.xlabel("Radius (mm)")
+    plt.ylabel("Height (mm)")
+    plt.grid()
+    plt.legend()
+    plt.savefig("2d_visualization.png")
+    return "2d_visualization.png"
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# Function to generate a 3D STL file
+def generate_3d_stl(height, radius, thickness):
+    bird_shell_model = create_bird_ear_shell(height, radius, thickness)
+    stl_path = "ear_bird_shell.stl"
+    with open(stl_path, "wb") as f:
+        exportShape(bird_shell_model.val(), "STL", f)
+    return stl_path
 
-    messages.append({"role": "user", "content": message})
+# Gradio interface functions
+def generate_visuals(height, radius, thickness):
+    # Generate 2D image
+    two_d_image = generate_2d_image(height, radius)
+    # Generate 3D STL file
+    three_d_model = generate_3d_stl(height, radius, thickness)
+    return two_d_image, three_d_model
 
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+# Gradio interface
+interface = gr.Interface(
+    fn=generate_visuals,
+    inputs=[
+        gr.Number(label="Height (mm)", value=50.0),
+        gr.Number(label="Radius (mm)", value=25.0),
+        gr.Number(label="Wall Thickness (mm)", value=3.0),
+    ],
+    outputs=[
+        gr.Image(label="2D Visualization"),
+        gr.File(label="Download 3D Model (STL)"),
     ],
+    title="Ear-Like Bird Shell Simulation",
+    description="Input the parameters to create an ear-like bird shell model. You can visualize it in 2D and download the 3D STL file for further use."
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+# Launch the app
+interface.launch()