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requirements.txt

@@ -1,4 +1,4 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
 matplotlib
 numpy

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", "with gr.Blocks() as demo:\n", "    gr.Plot(value=plt)\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,4 +1,4 @@
-import gradio as gr 
+import gradio as gr
 import matplotlib.pyplot as plt
 import numpy as np
 
@@ -12,4 +12,4 @@ plt.plot(x, y)
 with gr.Blocks() as demo:
     gr.Plot(value=plt)
 
-demo.launch()
+demo.launch()