L2_NLP.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lesson 2: Natural Language Processing (NLP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, install the following if you are running locally:\n",
    "\n",
    "```\n",
    "    !pip install transformers\n",
    "```\n",
    "\n",
    "_Note:_ You don't have to install any extra libraries if you are running this lab in this platform."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build the `chatbot` pipeline using 🤗 Transformers Library"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Here is some code that suppresses some warning messages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "height": 47
   },
   "outputs": [],
   "source": [
    "from transformers.utils import logging\n",
    "logging.set_verbosity_error()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "from transformers import pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Define the conversation pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "height": 77
   },
   "outputs": [],
   "source": [
    "# Create the chatbot\n",
    "chatbot = pipeline(task=\"conversational\",\n",
    "                   model=\"./models/facebook/blenderbot-400M-distill\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Note:_ Find more information about the model 'blenderbot-400M-distill', [here](https://huggingface.co/facebook/blenderbot-400M-distill)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "height": 94
   },
   "outputs": [],
   "source": [
    "# User message to start the conversation with the chatbot\n",
    "user_message = \"\"\"\n",
    "What are some fun activities I can do in the winter?\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "height": 47
   },
   "outputs": [],
   "source": [
    "# Import Conversation to get started\n",
    "from transformers import Conversation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "height": 47
   },
   "outputs": [],
   "source": [
    "# Start a new conversation\n",
    "conversation = Conversation(user_message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
      "user: \n",
      "What are some fun activities I can do in the winter?\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(conversation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "height": 47
   },
   "outputs": [],
   "source": [
    "# Send this conversation to the chatbot\n",
    "conversation = chatbot(conversation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
      "user: \n",
      "What are some fun activities I can do in the winter?\n",
      "\n",
      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(conversation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Note:_ It is possible to continue the conversation with the chatbot adding something like:\n",
    "```\n",
    "print(chatbot(Conversation(\"What else do you recommend?\")))\n",
    "```\n",
    "However, the chatbot might reply something unrelated because the chatbot didn't follow up the whole conversation.\n",
    "\n",
    "To fix that, try adding a 'message' to the conversation to follow up the conversation's context."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "height": 43
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversation id: 5a3c42b6-0590-4550-8c05-a7ecf0616210\n",
      "user: What else do you recommend?\n",
      "assistant:  Well, I'm not sure what else I can think of, but I do know that I'm going to miss her.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(chatbot(Conversation(\"What else do you recommend?\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "height": 132
   },
   "outputs": [],
   "source": [
    "# Add a message to the conversation\n",
    "conversation.add_message(\n",
    "    {\"role\": \"user\",\n",
    "     \"content\": \"\"\"\n",
    "What else do you recommend?\n",
    "\"\"\"\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
      "user: \n",
      "What are some fun activities I can do in the winter?\n",
      "\n",
      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
      "user: \n",
      "What else do you recommend?\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(conversation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "height": 81
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
      "user: \n",
      "What are some fun activities I can do in the winter?\n",
      "\n",
      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
      "user: \n",
      "What else do you recommend?\n",
      "\n",
      "assistant:  Snowboarding is a lot of fun.  You can do it indoors or outdoors.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Send this conversation to the chatbot\n",
    "conversation = chatbot(conversation)\n",
    "\n",
    "print(conversation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Note:_ Find more information about the __Open LLM Leaderboard__[ here](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard), and about the __LMSYS Chatbot Arena Leaderboard__ [ here](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try yourself! \n",
    "Now, it is your turn! Try this model with your own conversations!"
   ]
  }
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}