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requirements.txt

@@ -1,3 +1,3 @@
 matplotlib
 numpy
-https://gradio-main-build.s3.amazonaws.com/57b6fb2013981b14757d6628da1239e8c1e53bbd/gradio-3.14.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/dc200af89c24ec1e1d506e79f7d79bca4640df19/gradio-3.14.0-py3-none-any.whl

run.ipynb

@@ -1 +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}
+{"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", "css = \"footer {display: none !important;} .gradio-container {min-height: 0px !important;}\"\n", "\n", "with gr.Blocks(css=css) as demo:\n", "    gr.Plot(value=plt)\n", "\n", "demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -9,7 +9,9 @@ x = np.arange(sample)
 y = np.sin(2 * np.pi * f * x / Fs)
 plt.plot(x, y)
 
-with gr.Blocks() as demo:
+css = "footer {display: none !important;} .gradio-container {min-height: 0px !important;}"
+
+with gr.Blocks(css=css) as demo:
     gr.Plot(value=plt)
 
 demo.launch()