Upload app.py
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app.py
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def run_simulation(num_workers, batch_time, network_latency, mode, num_batches):
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"""Wrapper for Gradio interface."""
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timelines, metrics = simulate_batches(
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num_workers=int(num_workers),
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batch_time=float(batch_time),
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network_latency=float(network_latency),
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mode=mode,
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num_batches=int(num_batches)
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)
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fig = plot_timeline(timelines, metrics, num_workers)
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return fig, (
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f"Mode: {mode.capitalize()}\n"
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f"Epoch Time: {metrics['epoch_time_ms']:.2f} ms\n"
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f"Idle Time: {metrics['idle_percent']} %\n"
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f"Throughput: {metrics['throughput']} batches/sec"
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)
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# Define Gradio UI
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interface = gr.Interface(
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fn=run_simulation,
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inputs=[
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gr.Slider(1, 8, value=4, step=1, label="Number of Workers"),
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gr.Slider(100, 1000, value=500, step=50, label="Batch Processing Time (ms)"),
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gr.Slider(50, 500, value=200, step=25, label="Network Latency (ms)"),
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gr.Radio(["synchronous", "asynchronous"], value="synchronous", label="Mode"),
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gr.Slider(5, 30, value=10, step=1, label="Number of Batches per Epoch"),
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],
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outputs=[
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gr.Plot(label="Timeline Visualization"),
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gr.Textbox(label="Simulation Summary", lines=6, max_lines=8, show_copy_button=True)
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],
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title="🧠 Batch Scheduler Simulator",
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description="Visualize how synchronous vs. asynchronous batch scheduling affects throughput, idle time, and epoch duration.",
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examples=[
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[4, 500, 200, "synchronous", 10],
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[8, 400, 150, "asynchronous", 15]
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]
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)
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# Launch interface
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interface.launch(share=True)
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