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Update app.py
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app.py
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import gradio as gr
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from MLStructFP import DbLoader
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import matplotlib.pyplot as plt
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import tempfile
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import os
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try:
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# Save uploaded file temporarily
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with tempfile.NamedTemporaryFile(delete=False, suffix=".json") as f:
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f.write(json_file.read())
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json_path = f.name
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floor_id = list(db.floor.keys())[0] # Get first floor
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floor = db.floor[floor_id]
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floor.plot_complex()
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plt.title(f"Floor Plan ID: {floor_id}")
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plot_path = "floor_plot.png"
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plt.savefig(plot_path, bbox_inches="tight")
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plt.close()
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# Gradio Interface
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple")) as demo:
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gr.Markdown("""
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# 🏠 MLSTRUCT-FP Explorer
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*Visualize architectural floor plans from the [MLSTRUCT-FP dataset](https://github.com/MLSTRUCT/MLSTRUCT-FP)*
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""")
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with gr.Row():
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with gr.Column():
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upload = gr.File(label="Upload fp.json", type="binary")
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submit = gr.Button("Analyze", variant="primary")
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with gr.Column():
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plot = gr.Image(label="Floor Plan Visualization")
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summary = gr.Textbox(label="Dataset Summary", interactive=False)
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submit.click(
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visualize_floor_plan,
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inputs=upload,
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outputs=[plot, summary]
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)
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gr.Examples(
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examples=[[os.path.join("examples", "sample_fp.json")]], # Add example file
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inputs=upload,
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outputs=[plot, summary],
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label="Try the example below ↓"
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)
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demo.launch()
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import gradio as gr
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import os
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from MLStructFP.db import DbLoader
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# Path to the sample data (adjust if needed)
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DB_PATH = os.path.join(os.path.dirname(__file__), "test", "data", "fp.json")
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# Load the database once
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db = DbLoader(DB_PATH)
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def get_floor_ids():
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return [f.id for f in db.floors]
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def plot_floor(floor_id):
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floor = db[floor_id]
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fig = floor.plot_basic()
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return fig
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with gr.Blocks() as demo:
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gr.Markdown("# MLStructFP Floor Plan Demo")
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floor_id = gr.Dropdown(choices=get_floor_ids(), label="Select Floor ID")
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plot = gr.Plot(label="Floor Plan Plot")
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floor_id.change(fn=plot_floor, inputs=floor_id, outputs=plot)
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demo.launch()
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