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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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import trimesh
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import numpy as np
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from PIL import Image
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import base64
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def text_image_to_glb(text, image):
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"""
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Converts text and image into a 3D GLB object.
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Args:
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text (str): Input text.
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image (PIL.Image): Input image.
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Returns:
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bytes: GLB file as bytes.
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str: HTML for 3D preview.
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"""
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# Create a simple 3D mesh (e.g., a cube)
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mesh = trimesh.creation.box(extents=[1, 1, 1]) # Create a 1x1x1 cube
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# Add text to the 3D object (as metadata)
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mesh.metadata['text'] = text
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# Convert the image to a texture and apply it to the mesh
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if image:
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image = np.array(image) # Convert PIL image to numpy array
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texture = trimesh.visual.TextureVisuals(image=image)
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mesh.visual = texture
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# Export the mesh to GLB format
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glb_data = trimesh.exchange.gltf.export_glb(mesh)
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# Encode the GLB data as base64 for the HTML preview
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glb_base64 = base64.b64encode(glb_data).decode("utf-8")
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# Create an HTML preview for the 3D object
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html_preview = f"""
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<div style="text-align:center;">
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<h3>3D Object Preview</h3>
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<p><strong>Text:</strong> {text}</p>
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<p><strong>Image:</strong> Applied as texture</p>
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<model-viewer style="width:100%; height:400px;" src="data:model/gltf-binary;base64,{glb_base64}" auto-rotate camera-controls></model-viewer>
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<script type="module" src="https://unpkg.com/@google/model-viewer/dist/model-viewer.min.js"></script>
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</div>
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"""
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return glb_data, html_preview
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# Gradio interface
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def create_interface():
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iface = gr.Interface(
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fn=text_image_to_glb,
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inputs=[
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gr.Textbox(label="Enter Text"),
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gr.Image(label="Upload Image", type="pil")
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],
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outputs=[
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gr.File(label="Download GLB File"),
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gr.HTML(label="3D Object Preview")
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],
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title="Text & Image to 3D GLB Converter",
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description="Convert text and an image into a 3D GLB object with a preview."
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)
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return iface
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# Launch the app
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if __name__ == "__main__":
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iface = create_interface()
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iface.launch()
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