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Update app.py
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app.py
CHANGED
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@@ -3,18 +3,17 @@ import gradio as gr
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import torch
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from transformers import pipeline
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from PIL import Image
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import traceback
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# Global model storage
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models = {}
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@spaces.GPU(duration=120)
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def generate_code(image, model_choice, prompt_style):
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"""Generate CADQuery code
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if image is None:
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return "β Please upload an image first."
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#
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prompts = {
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"Simple": "Generate CADQuery Python code for this 3D model:",
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"Detailed": "Analyze this 3D CAD model and generate Python CADQuery code.\n\nRequirements:\n- Import cadquery as cq\n- Store result in 'result' variable\n- Use proper CADQuery syntax\n\nCode:",
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@@ -93,7 +92,7 @@ python your_script.py
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return f"β **Generation Failed**: {str(e)[:500]}"
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def system_info():
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"""Get system info
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info = f"""## π₯οΈ System Information
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- **CUDA Available**: {torch.cuda.is_available()}
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@@ -148,5 +147,4 @@ with gr.Blocks(title="GLM-4.5V CAD Generator", theme=gr.themes.Soft()) as demo:
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if __name__ == "__main__":
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print("π Starting GLM-4.5V CAD Generator...")
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print(f"CUDA available: {torch.cuda.is_available()}")
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#
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demo.launch()
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import torch
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from transformers import pipeline
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from PIL import Image
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# Global model storage
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models = {}
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@spaces.GPU(duration=120)
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def generate_code(image, model_choice, prompt_style):
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"""Generate CADQuery code from image."""
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if image is None:
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return "β Please upload an image first."
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# Prompts
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prompts = {
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"Simple": "Generate CADQuery Python code for this 3D model:",
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"Detailed": "Analyze this 3D CAD model and generate Python CADQuery code.\n\nRequirements:\n- Import cadquery as cq\n- Store result in 'result' variable\n- Use proper CADQuery syntax\n\nCode:",
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return f"β **Generation Failed**: {str(e)[:500]}"
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def system_info():
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"""Get system info."""
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info = f"""## π₯οΈ System Information
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- **CUDA Available**: {torch.cuda.is_available()}
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if __name__ == "__main__":
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print("π Starting GLM-4.5V CAD Generator...")
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print(f"CUDA available: {torch.cuda.is_available()}")
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demo.launch() # NO share=True!
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