{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training restaurant.yml: [####################] 100%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\thumt\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\thumt\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Text : ปลาโลมา\n",
      "Bot:  หมดครับ\n",
      "Text : มีปลาอะไร\n",
      "Bot:  ปลาเก๋า ปลาทู ปลาโลมา\n",
      "Text : ปลาทู\n",
      "Bot:  ได้ครับ\n",
      "Text : ปลาโลมา\n",
      "Bot:  หมดครับ\n",
      "Text : ไม่เผ็ด\n",
      "Bot:  พริกกี่เม็ดดีครับ\n",
      "Text : ขอเปลี่ยนใจ\n",
      "Bot:  รับอะไรดีครับ\n",
      "Text : exit\n"
     ]
    }
   ],
   "source": [
    "#from chatterbot.trainers import ChatterBotCorpusTrainer\n",
    "\n",
    "#chatterbot = ChatBot(\"Training Example\") # ชื่อแชทบ็อต\n",
    "#chatterbot.set_trainer(ChatterBotCorpusTrainer) # กำหนดให้ Train จากชุดข้อมูลของ Chatterbot\n",
    "\n",
    "#chatterbot.train(\n",
    "#    \"chatterbot.corpus.english\"\n",
    "#) # เรียกใช้ชุดข้อมูล chatterbot.corpus.english\n",
    "\n",
    "from chatterbot import ChatBot\n",
    "from chatterbot.trainers import ChatterBotCorpusTrainer\n",
    "\n",
    "chatbot = ChatBot('Training Example')\n",
    "trainer = ChatterBotCorpusTrainer(chatbot)\n",
    "\n",
    "trainer.train(\n",
    "    \"chatterbot.corpus.thai\"\n",
    ")\n",
    "\n",
    "\n",
    "text=\"\"\n",
    "\n",
    "while True:\n",
    "\n",
    "    text=input(\"Text : \")\n",
    "\n",
    "    if text==\"exit\":\n",
    "\n",
    "        break\n",
    "\n",
    "    response = chatbot.get_response(text)\n",
    "\n",
    "    print('Bot: ',response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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