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README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 4.39.0
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app_file:
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: plot_guide_line
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.39.0
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app_file: run.py
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pinned: false
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hf_oauth: true
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: plot_guide_line"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import numpy as np\n", "import random\n", "\n", "df = pd.DataFrame({\n", " 'height': np.random.randint(50, 70, 25),\n", " 'weight': np.random.randint(120, 320, 25),\n", " 'age': np.random.randint(18, 65, 25),\n", " 'ethnicity': [random.choice([\"white\", \"black\", \"asian\"]) for _ in range(25)]\n", "})\n", "\n", "with gr.Blocks() as demo:\n", " gr.LinePlot(df, x=\"weight\", y=\"height\")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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import gradio as gr
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import pandas as pd
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import numpy as np
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import random
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df = pd.DataFrame({
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'height': np.random.randint(50, 70, 25),
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'weight': np.random.randint(120, 320, 25),
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'age': np.random.randint(18, 65, 25),
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'ethnicity': [random.choice(["white", "black", "asian"]) for _ in range(25)]
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})
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with gr.Blocks() as demo:
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gr.LinePlot(df, x="weight", y="height")
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if __name__ == "__main__":
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demo.launch()
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