Update app.py
Browse files
app.py
CHANGED
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@@ -10,38 +10,7 @@ def generate_3d_model(image):
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# Placeholder logic: simply return the same image (you can replace this with actual processing)
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# Here you would typically use a 3D modeling library or call an external API to process the image
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processed_image = image_array # This line simulates processing
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def generate_3d_model(image):
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# Here, you would replace this code with the logic to generate a 3D model
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# For this example, let's assume it saves a dummy 3D model file
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output_file = "output_model.obj"
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# Write a simple placeholder 3D model file
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with open(output_file, "w") as f:
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f.write("# This is a placeholder for a real 3D model\n")
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f.write("o Cube\n")
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f.write("v 0.000000 0.000000 0.000000\n")
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f.write("v 0.000000 1.000000 0.000000\n")
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f.write("v 1.000000 1.000000 0.000000\n")
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f.write("v 1.000000 0.000000 0.000000\n")
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f.write("v 0.000000 0.000000 1.000000\n")
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f.write("v 0.000000 1.000000 1.000000\n")
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f.write("v 1.000000 1.000000 1.000000\n")
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f.write("v 1.000000 0.000000 1.000000\n")
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f.write("f 1 2 3 4\n")
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f.write("f 5 6 7 8\n")
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f.write("f 1 5 8 4\n")
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f.write("f 2 6 7 3\n")
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f.write("f 1 2 6 5\n")
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f.write("f 4 3 7 8\n")
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return output_file
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# Convert back to PIL image for display
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result_image = Image.fromarray(processed_image)
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return result_image
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# Define the Gradio interface using the updated syntax
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iface = gr.Interface(
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# Placeholder logic: simply return the same image (you can replace this with actual processing)
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# Here you would typically use a 3D modeling library or call an external API to process the image
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processed_image = image_array # This line simulates processing
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# Define the Gradio interface using the updated syntax
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iface = gr.Interface(
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