docs/intro/hello_bot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hello bot!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Open in [Colaboratory](https://colab.research.google.com/github/deepmipt/DeepPavlov/blob/master/docs/intro/hello_bot.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!pip install -q deeppavlov"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import key components to build HelloBot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from deeppavlov.skills.pattern_matching_skill import PatternMatchingSkill\n",
    "from deeppavlov.agents.default_agent.default_agent import DefaultAgent\n",
    "from deeppavlov.agents.processors.highest_confidence_selector import HighestConfidenceSelector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create skills as pre-defined responses for a user's input containing specific keywords and regular expressions. Every skill returns response and confidence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hello = PatternMatchingSkill(responses=['Hello world!'], patterns=[\"hi\", \"hello\", \"good day\"])\n",
    "bye = PatternMatchingSkill(['Goodbye world!', 'See you around'],\n",
    "                           patterns=[\"bye\", \"chao\", \"see you\"])\n",
    "fallback = PatternMatchingSkill([\"I don't understand, sorry\", 'I can say \"Hello world!\"'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agent executes skills and then takes response from the skill with the highest confidence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "agent = DefaultAgent([hello, bye, fallback], skills_selector=HighestConfidenceSelector())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Give the floor to the HelloBot!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "agent(['Hello', 'Bye', 'Or not'])"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}