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Create app.py
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app.py
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# Import necessary packages
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import simpy
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import matplotlib.pyplot as plt
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from mpl_toolkits.mplot3d import Axes3D # for 3D plotting
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from PIL import Image
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import gradio as gr
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import io
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# Function for jet flight simulation using SimPy with 3D plot
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def run_jet_simulation(max_altitude, climb_rate, acceleration, max_speed_kmph):
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max_speed_mps = max_speed_kmph * 1000 / 3600
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time_log = []
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altitude_log = []
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speed_log = []
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def jet_process(env):
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altitude = 0
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speed = 0
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while True:
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if altitude < max_altitude:
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altitude += climb_rate
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if speed < max_speed_mps:
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speed += acceleration
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time_log.append(env.now)
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altitude_log.append(min(altitude, max_altitude))
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speed_log.append(min(speed, max_speed_mps))
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yield env.timeout(1)
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if altitude >= max_altitude and speed >= max_speed_mps:
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break
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env = simpy.Environment()
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env.process(jet_process(env))
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env.run(until=300)
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# 3D Plotting
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fig = plt.figure(figsize=(8, 6))
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ax = fig.add_subplot(111, projection='3d')
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ax.plot(time_log, altitude_log, speed_log, color='blue', label='Jet Climb Path')
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ax.set_xlabel('Time (s)')
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ax.set_ylabel('Altitude (m)')
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ax.set_zlabel('Speed (m/s)')
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ax.set_title('🛩️ 3D Jet Climb Simulation')
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ax.legend()
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# Save to buffer
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buf = io.BytesIO()
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plt.savefig(buf, format='png')
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buf.seek(0)
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return Image.open(buf)
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# Gradio Interface
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demo = gr.Interface(
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fn=run_jet_simulation,
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inputs=[
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gr.Number(label="Max Altitude (meters)", value=10000),
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gr.Number(label="Climb Rate (m/s)", value=50),
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gr.Number(label="Acceleration (m/s²)", value=20),
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gr.Number(label="Max Speed (km/h)", value=2500),
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],
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outputs=gr.Image(type="pil"),
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title="🛩️ 3D Fighter Jet Simulation using SimPy",
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description="Simulates a fighter jet’s altitude and speed climb in 3D space using SimPy and Matplotlib."
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)
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demo.launch()
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