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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1940b504",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7860\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import pmdarima as pm\n",
    "import matplotlib.pyplot as plt\n",
    "import gradio as gr\n",
    "import io\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")\n",
    "\n",
    "\n",
    "def predict_timeseries(data_file):\n",
    "    # Load CSV file into a pandas DataFrame\n",
    "    data = pd.read_csv(data_file.name, index_col=[0], parse_dates=True)\n",
    "\n",
    "    # Convert date column to datetime object\n",
    "    data.index = pd.to_datetime(data.index)\n",
    "\n",
    "    # Fit the auto ARIMA model\n",
    "    model = pm.auto_arima(data.values, seasonal=True, m=12)\n",
    "\n",
    "    # Get ARIMA order\n",
    "    arima_order = model.order\n",
    "\n",
    "    # Plot the actual data\n",
    "   # Plot the actual data\n",
    "    fig_actual, ax_actual = plt.subplots()\n",
    "    ax_actual.plot(data, label = data.columns[-1])\n",
    "    ax_actual.set_xlabel(data.index.name)\n",
    "    plt.legend()\n",
    "    ax_actual.set_ylabel(data.columns[-1])\n",
    "    ax_actual.set_title(\"Plot of Actual data for {}\".format(data.columns[-1]))\n",
    "    plt.show()\n",
    "    \n",
    "    # Get the last date in the actual data\n",
    "    last_date = data.index[-1]\n",
    "\n",
    "    # Make predictions\n",
    "    predicted_values = model.predict(n_periods=12)\n",
    "\n",
    "    # Generate a range of dates starting from the start date\n",
    "    pred_index = pd.date_range(start=last_date, periods=len(predicted_values)+1, freq=\"MS\")[1:]\n",
    "\n",
    "    # Create a new dataframe with the predicted values and the generated dates\n",
    "    predictions = pd.DataFrame({'predicted_values': predicted_values}, index=pred_index)\n",
    "    predictions.columns = data.columns\n",
    "    predictions.index.name = data.index.name\n",
    "    predictions.index.freq = data.index.freq\n",
    "\n",
    "    # Merge the dataframes using the index\n",
    "    merged_data = pd.concat([data, predictions], axis=0)\n",
    "\n",
    "    num_actual = len(data.index)\n",
    "\n",
    "    # Plot the actual vs predicted data\n",
    "    actual_data = merged_data.iloc[:num_actual,:]\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.plot(actual_data.index, actual_data[data.columns[-1]], label='Actual')\n",
    "\n",
    "    # Plot the predicted data\n",
    "    predicted_data = merged_data.iloc[num_actual:,:]\n",
    "    ax.plot(predicted_data.index, predicted_data[data.columns[-1]], label='Predicted')\n",
    "\n",
    "    # Add x and y axis labels\n",
    "    ax.set_xlabel(data.index.name)\n",
    "    ax.set_ylabel(data.columns[-1])\n",
    "\n",
    "    # Add title and legend\n",
    "    ax.set_title('Actual vs Predicted')\n",
    "    ax.legend()\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    return data.head(), fig_actual, arima_order, predictions, fig\n",
    "\n",
    "input_data = gr.inputs.File(label=\"Upload CSV file\")\n",
    "\n",
    "outputs = [gr.outputs.Dataframe(type = \"pandas\", label = \"FIRST FIVE ROWS OF DATASET\"), \n",
    "                                'plot', \n",
    "                                gr.outputs.Textbox(label = \"ARIMA ORDER\"), \n",
    "                                gr.outputs.Dataframe(type = \"pandas\", label = \"PREDICTIONS FOR NEXT 12 PERIODS\"), \n",
    "                                'plot'\n",
    "          ]\n",
    "examples = [\"Electric_Production.csv\"]\n",
    "interface = gr.Interface(fn=predict_timeseries, inputs=input_data, outputs=outputs,\n",
    "                         title=\"Time series Forecast using AUTO ARIMA\",\n",
    "                         description=\"Upload a CSV file of monthly time series data to generate 12 period forecasts using ARIMA.\\nPlease Note: \\nThe first plot displays the Time Plot of the Actual Series \\n\\tThe second Plot displays Plot Of Actual  and Predicted values\",\n",
    "                         theme = \"darkhuggingface\", \n",
    "                         examples = examples)\n",
    "interface.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0cba0a31",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'warnings' has no attribute '__version__'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_11448/1326010280.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mwarnings\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwarnings\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__version__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: module 'warnings' has no attribute '__version__'"
     ]
    }
   ],
   "source": [
    "import warnings as warnings\n",
    "print(warnings.__version__)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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