{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Radio, please remove them: {'multiselect': False}\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "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": [
       "<div><iframe src=\"http://127.0.0.1:7861/\" 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": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[40]\n",
      "[40, 30]\n",
      "[40, 30, 10]\n",
      "[40, 30, 10, 10]\n",
      "[40, 30, 10, 10, 10]\n"
     ]
    }
   ],
   "source": [
    "import gradio as gr\n",
    "import statistics\n",
    "\n",
    "def predict(history, input1):\n",
    "    history.append(input1)\n",
    "\n",
    "    print(history)\n",
    "    total = statistics.mean(history)\n",
    "\n",
    "    return total\n",
    "\n",
    "with gr.Blocks(theme=gr.themes.Soft(primary_hue='amber', secondary_hue='gray', neutral_hue='amber')) as demo:\n",
    "    gr.Markdown(\n",
    "    \"\"\"\n",
    "    # Gradio with History\n",
    "    \"\"\"\n",
    "    )\n",
    "    history = gr.Variable(value=[]) #beginning\n",
    "    input1 = gr.Radio([10, 20, 30, 40, 50], multiselect=False, label='value')\n",
    "    btn = gr.Button(value=\"Search for a Room\")\n",
    "    output1 = gr.Textbox(label='value')\n",
    "    # btn.click(greet, inputs='text', outputs=['dataframe'])\n",
    "    btn.click(predict, [history, input1], [output1])\n",
    "demo.launch(share=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}