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import gradio as gr | |
import matplotlib.pyplot as plt | |
import numpy as np | |
Fs = 8000 | |
f = 5 | |
sample = 8000 | |
x = np.arange(sample) | |
y = np.sin(2 * np.pi * f * x / Fs) | |
plt.plot(x, y) | |
css = "footer {display: none !important;} .gradio-container {min-height: 0px !important;}" | |
with gr.Blocks(css=css) as demo: | |
gr.Plot(value=plt) | |
demo.launch() |