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requirements.txt

@@ -1,3 +1,3 @@
 matplotlib
 numpy
-https://gradio-main-build.s3.amazonaws.com/8edc91ff4b45981ad3e96288b404f9143115b178/gradio-3.10.1-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/4f24e146dac42a85de708d147f488fdf418d4a7f/gradio-3.10.1-py3-none-any.whl

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: plot_component"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio matplotlib numpy"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr \n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "Fs = 8000\n", "f = 5\n", "sample = 8000\n", "x = np.arange(sample)\n", "y = np.sin(2 * np.pi * f * x / Fs)\n", "plt.plot(x, y)\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Plot(value=plt)\n", "\n", "demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}