mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-09 02:00:44 +08:00
65f5733ab4
* cleaning up launchable * removing launchables broken * deleted launchables * relaunch parameters * fixed close method * formatting * renamed blocks demos * creating a new blocks demo * added neural blocks demo * format backend * fixed naming bug i introduced
39 lines
883 B
Python
39 lines
883 B
Python
import matplotlib.pyplot as plt
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import numpy as np
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import gradio as gr
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def plot(v, a):
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g = 9.81
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theta = a / 180 * 3.14
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tmax = ((2 * v) * np.sin(theta)) / g
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timemat = tmax * np.linspace(0, 1, 40)[:, None]
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x = (v * timemat) * np.cos(theta)
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y = ((v * timemat) * np.sin(theta)) - ((0.5 * g) * (timemat**2))
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fig = plt.figure()
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plt.scatter(x=x, y=y, marker=".")
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plt.xlim(0, 100)
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plt.ylim(0, 60)
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return fig
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demo = gr.Blocks()
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with demo:
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gr.Markdown(
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"Let's do some kinematics! Choose the speed and angle to see the trajectory."
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)
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with gr.Row():
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speed = gr.Slider(25, min=1, max=30, label="Speed")
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angle = gr.Slider(45, min=0, max=90, label="Angle")
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output = gr.Image(type="plot")
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btn = gr.Button("Run")
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btn.click(plot, [speed, angle], output)
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if __name__ == "__main__":
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demo.launch()
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