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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Plot Component 3-x
-emoji: 📉
-colorFrom: yellow
-colorTo: green
+title: plot_component_3-x 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.3.0
-app_file: app.py
+sdk_version: 3.50.1
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

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+matplotlib
+numpy

run.ipynb

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+{"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}

run.py

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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)
+
+with gr.Blocks() as demo:
+    gr.Plot(value=plt)
+
+demo.launch()