diff --git "a/plot.ipynb" "b/plot.ipynb"
new file mode 100644--- /dev/null
+++ "b/plot.ipynb"
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+ "title": {
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+ }
+ }
+ }
+ },
+ "metadata": {},
+ "output_type": "display_data"
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+ ],
+ "source": [
+ "import plotly.graph_objects as go\n",
+ "\n",
+ "# Create a bar chart for Total Reviews and Sentences\n",
+ "fig1 = go.Figure()\n",
+ "fig1.add_trace(go.Bar(x=[\"Total Reviews\", \"Total Sentences\"], y=[50000, 621647], text=[50000, 621647], textposition=\"auto\"))\n",
+ "fig1.update_layout(title=\"Total Reviews and Sentences\")\n",
+ "fig1.show()\n",
+ "\n",
+ "# Create a bar chart for Pronouns in Sentences\n",
+ "fig2 = go.Figure()\n",
+ "fig2.add_trace(go.Bar(x=[\"Male Pronouns\", \"Female Pronouns\", \"Both Male and Female Pronouns\"],\n",
+ " y=[85615, 39372, 7765], text=[85615, 39372, 7765], textposition=\"auto\"))\n",
+ "fig2.update_layout(title=\"Pronouns in Sentences\")\n",
+ "fig2.show()\n",
+ "\n",
+ "# Create a bar chart for Exclusive Usage of Pronouns\n",
+ "fig3 = go.Figure()\n",
+ "fig3.add_trace(go.Bar(x=[\"Only Male Pronouns\", \"Only Female Pronouns\"],\n",
+ " y=[77860, 31617], text=[77860, 31617], textposition=\"auto\"))\n",
+ "fig3.update_layout(title=\"Exclusive Usage of Pronouns\")\n",
+ "fig3.show()\n",
+ "\n",
+ "# Create a bar chart for Pronouns and Professions in Sentences\n",
+ "fig4 = go.Figure()\n",
+ "fig4.add_trace(go.Bar(x=[\"Male Pronouns with Professions\", \"Female Pronouns with Professions\"],\n",
+ " y=[5580, 2618], text=[5580, 2618], textposition=\"auto\"))\n",
+ "fig4.update_layout(title=\"Pronouns and Professions in Sentences\")\n",
+ "fig4.show()\n",
+ "\n",
+ "# Create a bar chart for Exclusive Usage of Pronouns with Professions\n",
+ "fig5 = go.Figure()\n",
+ "fig5.add_trace(go.Bar(x=[\"Only Male Pronouns with Professions\", \"Only Female Pronouns with Professions\"],\n",
+ " y=[5011, 2049], text=[5011, 2049], textposition=\"auto\"))\n",
+ "fig5.update_layout(title=\"Exclusive Usage of Pronouns with Professions\")\n",
+ "fig5.show()\n",
+ "\n",
+ "# Create a bar chart for Pronouns and Professions in Combination\n",
+ "fig6 = go.Figure()\n",
+ "fig6.add_trace(go.Bar(x=[\"Male or Female Pronouns with Professions\", \"Male and Female Pronouns with Professions\"],\n",
+ " y=[7629, 569], text=[7629, 569], textposition=\"auto\"))\n",
+ "fig6.update_layout(title=\"Pronouns and Professions in Combination\")\n",
+ "fig6.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Caching examples at: '/home/frey/gh/biasaware/gradio_cached_examples/17'\n",
+ "Caching example 1/3\n",
+ "Caching example 2/3\n",
+ "Caching example 3/3\n",
+ "Caching complete\n",
+ "\n",
+ "Running on local URL: http://127.0.0.1:7861\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import altair\n",
+ "\n",
+ "import gradio as gr\n",
+ "from math import sqrt\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import plotly.express as px\n",
+ "import pandas as pd\n",
+ "\n",
+ "\n",
+ "def outbreak(plot_type, r, month, countries, social_distancing):\n",
+ " months = [\"January\", \"February\", \"March\", \"April\", \"May\"]\n",
+ " m = months.index(month)\n",
+ " start_day = 30 * m\n",
+ " final_day = 30 * (m + 1)\n",
+ " x = np.arange(start_day, final_day + 1)\n",
+ " pop_count = {\"USA\": 350, \"Canada\": 40, \"Mexico\": 300, \"UK\": 120}\n",
+ " if social_distancing:\n",
+ " r = sqrt(r)\n",
+ " df = pd.DataFrame({\"day\": x})\n",
+ " for country in countries:\n",
+ " df[country] = x ** (r) * (pop_count[country] + 1)\n",
+ "\n",
+ " if plot_type == \"Matplotlib\":\n",
+ " fig = plt.figure()\n",
+ " plt.plot(df[\"day\"], df[countries].to_numpy())\n",
+ " plt.title(\"Outbreak in \" + month)\n",
+ " plt.ylabel(\"Cases\")\n",
+ " plt.xlabel(\"Days since Day 0\")\n",
+ " plt.legend(countries)\n",
+ " return fig\n",
+ " elif plot_type == \"Plotly\":\n",
+ " fig = px.line(df, x=\"day\", y=countries)\n",
+ " fig.update_layout(\n",
+ " title=\"Outbreak in \" + month,\n",
+ " xaxis_title=\"Cases\",\n",
+ " yaxis_title=\"Days Since Day 0\",\n",
+ " )\n",
+ " return fig\n",
+ " elif plot_type == \"Altair\":\n",
+ " df = df.melt(id_vars=\"day\").rename(columns={\"variable\": \"country\"})\n",
+ " fig = altair.Chart(df).mark_line().encode(x=\"day\", y='value', color='country')\n",
+ " return fig\n",
+ " else:\n",
+ " raise ValueError(\"A plot type must be selected\")\n",
+ "\n",
+ "\n",
+ "inputs = [\n",
+ " gr.Dropdown([\"Matplotlib\", \"Plotly\", \"Altair\"], label=\"Plot Type\"),\n",
+ " gr.Slider(1, 4, 3.2, label=\"R\"),\n",
+ " gr.Dropdown([\"January\", \"February\", \"March\", \"April\", \"May\"], label=\"Month\"),\n",
+ " gr.CheckboxGroup(\n",
+ " [\"USA\", \"Canada\", \"Mexico\", \"UK\"], label=\"Countries\", value=[\"USA\", \"Canada\"]\n",
+ " ),\n",
+ " gr.Checkbox(label=\"Social Distancing?\"),\n",
+ "]\n",
+ "outputs = gr.Plot()\n",
+ "\n",
+ "demo = gr.Interface(\n",
+ " fn=outbreak,\n",
+ " inputs=inputs,\n",
+ " outputs=outputs,\n",
+ " examples=[\n",
+ " [\"Matplotlib\", 2, \"March\", [\"Mexico\", \"UK\"], True],\n",
+ " [\"Altair\", 2, \"March\", [\"Mexico\", \"Canada\"], True],\n",
+ " [\"Plotly\", 3.6, \"February\", [\"Canada\", \"Mexico\", \"UK\"], False],\n",
+ " ],\n",
+ " cache_examples=True,\n",
+ ")\n",
+ "\n",
+ "if __name__ == \"__main__\":\n",
+ " demo.launch()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
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