NLP_Next_Word_Predictor_Lecture_4_Chabot.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WDAngOj7SY3B"
      },
      "source": [
        "Foundation of AI Chatbot Bot"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GAAXDWwdSNT4"
      },
      "outputs": [],
      "source": [
        "# with open('/content/dialogs.txt', 'r') as f:\n",
        "#   data = f.read()\n",
        "# f.close()\n",
        "# data = data.replace('\\t', ' ')\n",
        "# data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VvT1SLhJFrbW"
      },
      "outputs": [],
      "source": [
        "\n",
        "data = '''Hello ARJVAUO hello, i am A I chat bot. How may i help you . OUAVJRA\n",
        "What is IIC ? ARJVAUO Ministry of Human Resource Development, Govt. of India has established ‘MHRD’s Innovation Cell (MIC)’ to systematically foster the culture of Innovation amongst all Higher Education Institutions (HEIs). The primary mandate of MIC is to encourage, inspire and nurture young students by supporting them to work with new ideas and transform them into prototypes while they are informative years OUAVJRA\n",
        "Good morning ARJVAUO Good morning to you too! I'm here to assist you with any questions or concerns you may have. OUAVJRA\n",
        "Good Afternoon ARJVAUO Good afternoon to you too! I'm here to assist you with any questions or concerns you may have. OUAVJRA\n",
        "Good evening ARJVAUO Good evening to you too! I'm here to assist you with any questions or concerns you may have. OUAVJRA\n",
        "What's going on? ARJVAUO Not much is going on with me since I'm an AI language model. But if you have any questions or concerns, I'm here to help. OUAVJRA\n",
        "What's new? ARJVAUO Nothing new on my end, but I'm ready to help you with whatever you need. OUAVJRA\n",
        "What have you been up to lately? ARJVAUO As an AI language model, I don't have personal experiences or activities. However, I'm always here to help you with any questions or concerns you may have. OUAVJRA\n",
        "How are you doing today? ARJVAUO I'm an AI language model, so I don't have emotions like humans do. But thank you for asking! How can I assist you today? OUAVJRA\n",
        "What is your name? ARJVAUO My name is AI Chatbot OUAVJRA\n",
        "What is the capital of India? ARJVAUO New Delhi OUAVJRA\n",
        "What is the weather like today? ARJVAUO  I'm sorry, but I don't have access to real-time weather data. You can check your local weather forecast or a weather website for more information. OUAVJRA\n",
        "What is the meaning of life? ARJVAUO The meaning of life is a philosophical and subjective question that has been debated for centuries. Many people find their own meaning in life through their personal experiences and beliefs. OUAVJRA\n",
        "How do you work? ARJVAUO  I work by using deep learning algorithms to process and understand natural language inputs, and then generate appropriate responses based on my programming and training. OUAVJRA\n",
        "Can you tell me a joke? ARJVAUO Sure, here's one: Why did the tomato turn red? Because it saw the salad dressing! OUAVJRA\n",
        "What is your purpose? ARJVAUO My purpose is to answer questions and provide information to the best of my abilities. OUAVJRA\n",
        "okay bye ARJVAUO Bye, Have a nice day OUAVJRA\n",
        "how are you? ARJVAUO hey I am fine, what about you OUAVJRA\n",
        "fine ARJVAUO Great, how can i help you ? OUAVJRA\n",
        "Hey ARJVAUO Hi, How are you? OUAVJRA\n",
        "I am fine ARJVAUO Great, How can I help you ? OUAVJRA\n",
        "I am good  ARJVAUO Great, How can I help you ? OUAVJRA\n",
        "Thank you ARJVAUO welcome OUAVJRA\n",
        "how are you? ARJVAUO hey I am fine, what about you OUAVJRA\n",
        "fine ARJVAUO Great, how can i help you ? OUAVJRA\n",
        "What is MYIIEST? ARJVAUO An Central Engineering Institution OUAVJRA\n",
        "What is NIRF rank? ARJVAUO 41 OUAVJRA\n",
        "How many hostels are there? ARJVAUO 71 OUAVJRA\n",
        "When IIEST has been stablished? ARJVAUO 1856 OUAVJRA\n",
        "Where is CS department? ARJVAUO main building OUAVJRA\n",
        "Who is the HOD of cs? ARJVAUO Nirnay Sir OUAVJRA\n",
        "How many students are enrolled? ARJVAUO 5000 OUAVJRA\n",
        "What is highest package of 2021? ARJVAUO 50LPA OUAVJRA\n",
        "what is average package of cs? ARJVAUO 19LPA OUAVJRA\n",
        "show me, today's class routein ARJVAUO follow the link OUAVJRA\n",
        "what is jee mains cutoff of 2021 of cs? ARJVAUO 99%tile OUAVJRA\n",
        "What are the Academic Courses IIEST offers for UG? ARJVAUO\tB.Tech.(4years),B.Arch.(5years) and Dual Degree(B.Tech.-M.Tech) for 5 years OUAVJRA\n",
        "Is IIEST a NIT? ARJVAUO\tIIEST is an NIT and its controlled by the Council by NITSER. OUAVJRA\n",
        "IIEST is private or Govt College? ARJVAUO IIEST in under the Central Government. OUAVJRA\n",
        "Does IIEST allow other external Scholarships? ARJVAUO YES, NSP,Reliance,Swami Vivekananda Scholarship and etc.Contact  Abhijit Bannerjee (SnT-5th floor) or Dean Academic Ashok Adak Sir (Main-1st floor) OUAVJRA\n",
        "Does IIEST provide Tution-Fee-Wavier oppertunities? ARJVAUO YES,Full-Tution-Fee-Wavier & Partial-Tution-Fee-Wavier OUAVJRA\n",
        "Who are Eligible for Full and Partial Tution Fee Wavier? ARJVAUO Full-TFW:Annual Income<1,00,000 & Partial-TFW:Annual Income:1,00,000 to 5,00,000 OUAVJRA\n",
        "When should i get the Refund of JOSAA-Admission-fees? ARJVAUO Latest by 3rd Semester(must make college bank account) else contact Abhijit Bannerjee(SnT-5th floor) OUAVJRA\n",
        "Does IIEST allow studying through Bank Loan and how? ARJVAUO YES,Mail Dean-of-Students-Welfare for Bonafide-Certificate complete rest process at your bank and forward College Bank details during Semester payment. OUAVJRA\n",
        "How many Banks are there at IIEST Shibpur? ARJVAUO UCO(SnT building),UBI and SBI(near Oval Ground) OUAVJRA\n",
        "Hi ARJVAUO Hello, Welcome to IIEST any Questions ? OUAVJRA\n",
        "What are the Clubs at IIEST Shibpur? ARJVAUO Robodarsha,Les Thespians,Catharsis,Euphony,LitSoc,Quizmaniac BEings,SCAGE,Society of Games and Sports,Code IIEST,DebSoc,Reflexo Beta,Entrepreneurship Development Cell,Camerabuff,Aeromodelling Club OUAVJRA\n",
        "Whats Special about IIEST? ARJVAUO The college has a rich culture of heritage with foundations of historical importance and a green lush campus. OUAVJRA\n",
        "How many Trees are there at IIEST? ARJVAUO 2610 Trees OUAVJRA\n",
        "What are the Fests at IIEST Shibpur? ARJVAUO REBECA,GYANDHARA,OIKOTAA,ANURANAN,TEDX-IIESTSHIBPUR,UDBHAVANI,INITIUM,METALLUM,SPHURAN,SCINTILLATIONS,IMPETUS,VAIDYUTIK,ABHIYANTRIX,SATRANG,KRITI. OUAVJRA\n",
        "Does IIEST provide Scholarships ? ARJVAUO GAABESU Scholarship Programme OUAVJRA\n",
        "bad answer ARJVAUO I am sorry but I prefer not to continue this conversation. I am still learning so I appreciate your understanding and patience.🙏 OUAVJRA\n",
        "how many departments are ? ARJVAUO 20departments OUAVJRA'''\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "USLNP6ZUQQlC",
        "outputId": "6cb1137c-70a1-4904-9577-743c8f4ea13c"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "\"hello arjvauo hello, i am a i chat bot. how may i help you . ouavjra\\nwhat is iic ? arjvauo ministry of human resource development, govt. of india has established ‘mhrd’s innovation cell (mic)’ to systematically foster the culture of innovation amongst all higher education institutions (heis). the primary mandate of mic is to encourage, inspire and nurture young students by supporting them to work with new ideas and transform them into prototypes while they are informative years ouavjra\\ngood morning arjvauo good morning to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\\ngood afternoon arjvauo good afternoon to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\\ngood evening arjvauo good evening to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\\nwhat's going on? arjvauo not much is going on with me since i'm an ai language model. but if you have any questions or concerns, i'm here to help. ouavjra\\nwhat's new? arjvauo nothing new on my end, but i'm ready to help you with whatever you need. ouavjra\\nwhat have you been up to lately? arjvauo as an ai language model, i don't have personal experiences or activities. however, i'm always here to help you with any questions or concerns you may have. ouavjra\\nhow are you doing today? arjvauo i'm an ai language model, so i don't have emotions like humans do. but thank you for asking! how can i assist you today? ouavjra\\nwhat is your name? arjvauo my name is ai chatbot ouavjra\\nwhat is the capital of india? arjvauo new delhi ouavjra\\nwhat is the weather like today? arjvauo  i'm sorry, but i don't have access to real-time weather data. you can check your local weather forecast or a weather website for more information. ouavjra\\nwhat is the meaning of life? arjvauo the meaning of life is a philosophical and subjective question that has been debated for centuries. many people find their own meaning in life through their personal experiences and beliefs. ouavjra\\nhow do you work? arjvauo  i work by using deep learning algorithms to process and understand natural language inputs, and then generate appropriate responses based on my programming and training. ouavjra\\ncan you tell me a joke? arjvauo sure, here's one: why did the tomato turn red? because it saw the salad dressing! ouavjra\\nwhat is your purpose? arjvauo my purpose is to answer questions and provide information to the best of my abilities. ouavjra\\nokay bye arjvauo bye, have a nice day ouavjra\\nhow are you? arjvauo hey i am fine, what about you ouavjra\\nfine arjvauo great, how can i help you ? ouavjra\\nhey arjvauo hi, how are you? ouavjra\\ni am fine arjvauo great, how can i help you ? ouavjra\\ni am good  arjvauo great, how can i help you ? ouavjra\\nthank you arjvauo welcome ouavjra\\nhow are you? arjvauo hey i am fine, what about you ouavjra\\nfine arjvauo great, how can i help you ? ouavjra\\nwhat is myiiest? arjvauo an central engineering institution ouavjra\\nwhat is nirf rank? arjvauo 41 ouavjra\\nhow many hostels are there? arjvauo 71 ouavjra\\nwhen iiest has been stablished? arjvauo 1856 ouavjra\\nwhere is cs department? arjvauo main building ouavjra\\nwho is the hod of cs? arjvauo nirnay sir ouavjra\\nhow many students are enrolled? arjvauo 5000 ouavjra\\nwhat is highest package of 2021? arjvauo 50lpa ouavjra\\nwhat is average package of cs? arjvauo 19lpa ouavjra\\nshow me, today's class routein arjvauo follow the link ouavjra\\nwhat is jee mains cutoff of 2021 of cs? arjvauo 99%tile ouavjra\\nwhat are the academic courses iiest offers for ug? arjvauo\\tb.tech.(4years),b.arch.(5years) and dual degree(b.tech.-m.tech) for 5 years ouavjra\\nis iiest a nit? arjvauo\\tiiest is an nit and its controlled by the council by nitser. ouavjra\\niiest is private or govt college? arjvauo iiest in under the central government. ouavjra\\ndoes iiest allow other external scholarships? arjvauo yes, nsp,reliance,swami vivekananda scholarship and etc.contact  abhijit bannerjee (snt-5th floor) or dean academic ashok adak sir (main-1st floor) ouavjra\\ndoes iiest provide tution-fee-wavier oppertunities? arjvauo yes,full-tution-fee-wavier & partial-tution-fee-wavier ouavjra\\nwho are eligible for full and partial tution fee wavier? arjvauo full-tfw:annual income<1,00,000 & partial-tfw:annual income:1,00,000 to 5,00,000 ouavjra\\nwhen should i get the refund of josaa-admission-fees? arjvauo latest by 3rd semester(must make college bank account) else contact abhijit bannerjee(snt-5th floor) ouavjra\\ndoes iiest allow studying through bank loan and how? arjvauo yes,mail dean-of-students-welfare for bonafide-certificate complete rest process at your bank and forward college bank details during semester payment. ouavjra\\nhow many banks are there at iiest shibpur? arjvauo uco(snt building),ubi and sbi(near oval ground) ouavjra\\nhi arjvauo hello, welcome to iiest any questions ? ouavjra\\nwhat are the clubs at iiest shibpur? arjvauo robodarsha,les thespians,catharsis,euphony,litsoc,quizmaniac beings,scage,society of games and sports,code iiest,debsoc,reflexo beta,entrepreneurship development cell,camerabuff,aeromodelling club ouavjra\\nwhats special about iiest? arjvauo the college has a rich culture of heritage with foundations of historical importance and a green lush campus. ouavjra\\nhow many trees are there at iiest? arjvauo 2610 trees ouavjra\\nwhat are the fests at iiest shibpur? arjvauo rebeca,gyandhara,oikotaa,anuranan,tedx-iiestshibpur,udbhavani,initium,metallum,sphuran,scintillations,impetus,vaidyutik,abhiyantrix,satrang,kriti. ouavjra\\ndoes iiest provide scholarships ? arjvauo gaabesu scholarship programme ouavjra\\nbad answer arjvauo i am sorry but i prefer not to continue this conversation. i am still learning so i appreciate your understanding and patience.🙏 ouavjra\\nhow many departments are ? arjvauo 20departments ouavjra\""
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.lower()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KWzCGNC7Qhno",
        "outputId": "ab225619-7c03-4abb-96cb-9636e99a8660"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['hello arjvauo hello, i am a i chat bot. how may i help you . ouavjra',\n",
              " 'what is iic ? arjvauo ministry of human resource development, govt. of india has established ‘mhrd’s innovation cell (mic)’ to systematically foster the culture of innovation amongst all higher education institutions (heis). the primary mandate of mic is to encourage, inspire and nurture young students by supporting them to work with new ideas and transform them into prototypes while they are informative years ouavjra',\n",
              " \"good morning arjvauo good morning to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\",\n",
              " \"good afternoon arjvauo good afternoon to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\",\n",
              " \"good evening arjvauo good evening to you too! i'm here to assist you with any questions or concerns you may have. ouavjra\",\n",
              " \"what's going on? arjvauo not much is going on with me since i'm an ai language model. but if you have any questions or concerns, i'm here to help. ouavjra\",\n",
              " \"what's new? arjvauo nothing new on my end, but i'm ready to help you with whatever you need. ouavjra\",\n",
              " \"what have you been up to lately? arjvauo as an ai language model, i don't have personal experiences or activities. however, i'm always here to help you with any questions or concerns you may have. ouavjra\",\n",
              " \"how are you doing today? arjvauo i'm an ai language model, so i don't have emotions like humans do. but thank you for asking! how can i assist you today? ouavjra\",\n",
              " 'what is your name? arjvauo my name is ai chatbot ouavjra',\n",
              " 'what is the capital of india? arjvauo new delhi ouavjra',\n",
              " \"what is the weather like today? arjvauo  i'm sorry, but i don't have access to real-time weather data. you can check your local weather forecast or a weather website for more information. ouavjra\",\n",
              " 'what is the meaning of life? arjvauo the meaning of life is a philosophical and subjective question that has been debated for centuries. many people find their own meaning in life through their personal experiences and beliefs. ouavjra',\n",
              " 'how do you work? arjvauo  i work by using deep learning algorithms to process and understand natural language inputs, and then generate appropriate responses based on my programming and training. ouavjra',\n",
              " \"can you tell me a joke? arjvauo sure, here's one: why did the tomato turn red? because it saw the salad dressing! ouavjra\",\n",
              " 'what is your purpose? arjvauo my purpose is to answer questions and provide information to the best of my abilities. ouavjra',\n",
              " 'okay bye arjvauo bye, have a nice day ouavjra',\n",
              " 'how are you? arjvauo hey i am fine, what about you ouavjra',\n",
              " 'fine arjvauo great, how can i help you ? ouavjra',\n",
              " 'hey arjvauo hi, how are you? ouavjra',\n",
              " 'i am fine arjvauo great, how can i help you ? ouavjra',\n",
              " 'i am good  arjvauo great, how can i help you ? ouavjra',\n",
              " 'thank you arjvauo welcome ouavjra',\n",
              " 'how are you? arjvauo hey i am fine, what about you ouavjra',\n",
              " 'fine arjvauo great, how can i help you ? ouavjra',\n",
              " 'what is myiiest? arjvauo an central engineering institution ouavjra',\n",
              " 'what is nirf rank? arjvauo 41 ouavjra',\n",
              " 'how many hostels are there? arjvauo 71 ouavjra',\n",
              " 'when iiest has been stablished? arjvauo 1856 ouavjra',\n",
              " 'where is cs department? arjvauo main building ouavjra',\n",
              " 'who is the hod of cs? arjvauo nirnay sir ouavjra',\n",
              " 'how many students are enrolled? arjvauo 5000 ouavjra',\n",
              " 'what is highest package of 2021? arjvauo 50lpa ouavjra',\n",
              " 'what is average package of cs? arjvauo 19lpa ouavjra',\n",
              " \"show me, today's class routein arjvauo follow the link ouavjra\",\n",
              " 'what is jee mains cutoff of 2021 of cs? arjvauo 99%tile ouavjra',\n",
              " 'what are the academic courses iiest offers for ug? arjvauo\\tb.tech.(4years),b.arch.(5years) and dual degree(b.tech.-m.tech) for 5 years ouavjra',\n",
              " 'is iiest a nit? arjvauo\\tiiest is an nit and its controlled by the council by nitser. ouavjra',\n",
              " 'iiest is private or govt college? arjvauo iiest in under the central government. ouavjra',\n",
              " 'does iiest allow other external scholarships? arjvauo yes, nsp,reliance,swami vivekananda scholarship and etc.contact  abhijit bannerjee (snt-5th floor) or dean academic ashok adak sir (main-1st floor) ouavjra',\n",
              " 'does iiest provide tution-fee-wavier oppertunities? arjvauo yes,full-tution-fee-wavier & partial-tution-fee-wavier ouavjra',\n",
              " 'who are eligible for full and partial tution fee wavier? arjvauo full-tfw:annual income<1,00,000 & partial-tfw:annual income:1,00,000 to 5,00,000 ouavjra',\n",
              " 'when should i get the refund of josaa-admission-fees? arjvauo latest by 3rd semester(must make college bank account) else contact abhijit bannerjee(snt-5th floor) ouavjra',\n",
              " 'does iiest allow studying through bank loan and how? arjvauo yes,mail dean-of-students-welfare for bonafide-certificate complete rest process at your bank and forward college bank details during semester payment. ouavjra',\n",
              " 'how many banks are there at iiest shibpur? arjvauo uco(snt building),ubi and sbi(near oval ground) ouavjra',\n",
              " 'hi arjvauo hello, welcome to iiest any questions ? ouavjra',\n",
              " 'what are the clubs at iiest shibpur? arjvauo robodarsha,les thespians,catharsis,euphony,litsoc,quizmaniac beings,scage,society of games and sports,code iiest,debsoc,reflexo beta,entrepreneurship development cell,camerabuff,aeromodelling club ouavjra',\n",
              " 'whats special about iiest? arjvauo the college has a rich culture of heritage with foundations of historical importance and a green lush campus. ouavjra',\n",
              " 'how many trees are there at iiest? arjvauo 2610 trees ouavjra',\n",
              " 'what are the fests at iiest shibpur? arjvauo rebeca,gyandhara,oikotaa,anuranan,tedx-iiestshibpur,udbhavani,initium,metallum,sphuran,scintillations,impetus,vaidyutik,abhiyantrix,satrang,kriti. ouavjra',\n",
              " 'does iiest provide scholarships ? arjvauo gaabesu scholarship programme ouavjra',\n",
              " 'bad answer arjvauo i am sorry but i prefer not to continue this conversation. i am still learning so i appreciate your understanding and patience.🙏 ouavjra',\n",
              " 'how many departments are ? arjvauo 20departments ouavjra']"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data = data.lower().split('\\n')\n",
        "data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8AW9Mv24GqmG",
        "outputId": "6a04993e-c308-4756-ed15-83c0dc42865a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "list"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s_wlG-pQG4Ff",
        "outputId": "15356988-f94d-4407-ac9b-b2a804557dd0"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'hello arjvauo hello, i am a i chat bot. how may i help you . ouavjra'"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0eBVoif9UtMP"
      },
      "outputs": [],
      "source": [
        "# tokenization :: preprocessing\n",
        "from tensorflow.keras.preprocessing.text import Tokenizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1Ck1zaSvUhI3"
      },
      "outputs": [],
      "source": [
        "tokenizer = Tokenizer(oov_token = '<OOV>')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "X6fjCZvgUqfe"
      },
      "outputs": [],
      "source": [
        "tokenizer.fit_on_texts(data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QtX7yfddVRh2"
      },
      "outputs": [],
      "source": [
        "# tokenizer.word_index\n",
        "sequences = tokenizer.texts_to_sequences(data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w3twYZ0VVWVd",
        "outputId": "4ffcff4d-da53-47d4-abb2-88475ace16e4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28, 5, 19, 4, 3]"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sequences[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WW9IUa5OVmP-"
      },
      "outputs": [],
      "source": [
        "input_sequence = []\n",
        "\n",
        "for sequence in sequences:\n",
        "  # n_GRAM\n",
        "  for i in range(1, len(sequence)):\n",
        "    n_gram = sequence[: i + 1]\n",
        "    input_sequence.append(n_gram)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g-4RrE6oXBVM",
        "outputId": "26ec8aad-3783-4e10-f9a7-a237ab12721c"
      },
      "outputs": [
        {
          "data": {
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              " [53, 2, 53, 5, 21, 18, 5, 137, 138],\n",
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              " [53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28],\n",
              " [53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28, 5],\n",
              " [53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28, 5, 19],\n",
              " [53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28, 5, 19, 4],\n",
              " [53, 2, 53, 5, 21, 18, 5, 137, 138, 11, 28, 5, 19, 4, 3],\n",
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              " [382,\n",
              "  108,\n",
              "  2,\n",
              "  5,\n",
              "  21,\n",
              "  100,\n",
              "  33,\n",
              "  5,\n",
              "  383,\n",
              "  92,\n",
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              "  384,\n",
              "  385,\n",
              "  386,\n",
              "  5,\n",
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              "  387,\n",
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              "  35,\n",
              "  389,\n",
              "  10,\n",
              "  390,\n",
              "  391,\n",
              "  3],\n",
              " [11, 27],\n",
              " [11, 27, 392],\n",
              " [11, 27, 392, 14],\n",
              " [11, 27, 392, 14, 2],\n",
              " [11, 27, 392, 14, 2, 393],\n",
              " [11, 27, 392, 14, 2, 393, 3]]"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "input_sequence"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "avfwv-sgXDO9"
      },
      "outputs": [],
      "source": [
        "from tensorflow.keras.preprocessing.sequence import pad_sequences"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "z3USqpqDXsIs"
      },
      "outputs": [],
      "source": [
        "max_len = max([len(x) for x in input_sequence])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lg-lyWP5YFG9"
      },
      "outputs": [],
      "source": [
        "padded_input = pad_sequences(input_sequence, maxlen = max_len)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6pzCNDC7YROs",
        "outputId": "db7e136c-f5af-4b5b-db6a-0d47c41acc5a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 53,  2], dtype=int32)"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "padded_input[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s1baVCN2TEvF",
        "outputId": "f5a795c5-703c-4e3d-ea5a-c94381a50e64"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(925, 64)"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "padded_input.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5GbbzD1uTBJx",
        "outputId": "c868038b-dcd3-4415-9bf5-40489af87ddb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "64"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "max_len"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NaVAw2xRYUxL"
      },
      "outputs": [],
      "source": [
        "x_train  = padded_input[:, :-1]\n",
        "y_train = padded_input[:, -1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DrAkjt-tTvsw",
        "outputId": "c15320b4-7b2c-47f3-f880-9a9ff0f651b1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(925, 63)"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xxybyFnVT2sx",
        "outputId": "6a44e3a6-b9ec-4d4b-984b-a85c13d05b8e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(925,)"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-qOYWZUTYtZk",
        "outputId": "fcb57c1d-005a-4283-af46-cf2e8c1b0867"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
              "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 53], dtype=int32)"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_train[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TOhMrqCwY-op",
        "outputId": "628be6c4-76f0-453a-da9b-bbf33e315ad1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_train[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rF8Yp9gyZPei"
      },
      "outputs": [],
      "source": [
        "# yes, no\n",
        "# [1 0]\n",
        "\n",
        "# [0 1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TmFor2xmZC3j"
      },
      "outputs": [],
      "source": [
        "total_words = len(tokenizer.word_index) + 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wc8jtmvRUmeC",
        "outputId": "e7a3b9c9-261f-481e-b490-7f0b1e3e97e6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "394"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "total_words"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "M6qCQPy3Z-GK"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mq-db5xCWbkS"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "u_m2jHZWZci6"
      },
      "outputs": [],
      "source": [
        "# one hot encoding\n",
        "y_train = tf.keras.utils.to_categorical(y = y_train, num_classes = total_words)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X-3Xo4yOWTu_",
        "outputId": "71205222-3201-4d0b-aa89-0cc7d14453d5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(925, 394)"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jsiUHlX2VCpP",
        "outputId": "21c0c2a1-0cc8-4975-d370-0a9dc632b03a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(394,)"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_train[0].shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9kMBscC_ae76"
      },
      "outputs": [],
      "source": [
        "# model implementation\n",
        "# RNN - Recurrent Neural Network\n",
        "\n",
        "model = tf.keras.Sequential([\n",
        "    tf.keras.layers.Embedding(input_dim = total_words, output_dim = 240, input_length = max_len - 1),\n",
        "    tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(150)),\n",
        "    tf.keras.layers.Dense(units = total_words, activation = 'softmax')\n",
        "])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vyX7qrUYdaJo"
      },
      "outputs": [],
      "source": [
        "optimizer = tf.keras.optimizers.Adam(learning_rate = 0.008)  # try with lr = 0.01, 0.001, 0.0008, 0.0005, 0.0001\n",
        "model.compile(loss = 'categorical_crossentropy', optimizer = optimizer, metrics = ['accuracy'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "cqqESgiEeArX",
        "outputId": "1ee59393-3e66-462a-a8ca-87494e2a712d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/15\n",
            "19/19 [==============================] - 12s 371ms/step - loss: 5.6680 - accuracy: 0.0703\n",
            "Epoch 2/15\n",
            "19/19 [==============================] - 7s 372ms/step - loss: 5.4396 - accuracy: 0.0789\n",
            "Epoch 3/15\n",
            "19/19 [==============================] - 8s 443ms/step - loss: 4.4888 - accuracy: 0.1589\n",
            "Epoch 4/15\n",
            "19/19 [==============================] - 7s 376ms/step - loss: 3.6223 - accuracy: 0.2476\n",
            "Epoch 5/15\n",
            "19/19 [==============================] - 8s 414ms/step - loss: 2.8743 - accuracy: 0.3373\n",
            "Epoch 6/15\n",
            "19/19 [==============================] - 7s 344ms/step - loss: 2.1204 - accuracy: 0.4508\n",
            "Epoch 7/15\n",
            "19/19 [==============================] - 8s 421ms/step - loss: 1.4790 - accuracy: 0.6324\n",
            "Epoch 8/15\n",
            "19/19 [==============================] - 7s 355ms/step - loss: 1.0213 - accuracy: 0.7438\n",
            "Epoch 9/15\n",
            "19/19 [==============================] - 8s 388ms/step - loss: 0.6527 - accuracy: 0.8400\n",
            "Epoch 10/15\n",
            "19/19 [==============================] - 8s 406ms/step - loss: 0.4521 - accuracy: 0.8951\n",
            "Epoch 11/15\n",
            "19/19 [==============================] - 6s 332ms/step - loss: 0.3310 - accuracy: 0.9157\n",
            "Epoch 12/15\n",
            "19/19 [==============================] - 9s 456ms/step - loss: 0.2769 - accuracy: 0.9200\n",
            "Epoch 13/15\n",
            "19/19 [==============================] - 6s 339ms/step - loss: 0.2450 - accuracy: 0.9341\n",
            "Epoch 14/15\n",
            "19/19 [==============================] - 8s 414ms/step - loss: 0.1961 - accuracy: 0.9449\n",
            "Epoch 15/15\n",
            "19/19 [==============================] - 6s 342ms/step - loss: 0.1808 - accuracy: 0.9470\n"
          ]
        }
      ],
      "source": [
        "history = model.fit(x = x_train, y = y_train, epochs= 15, batch_size= 50)   # replace 30 with 15 epochs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "o8Kg8YRhejW9"
      },
      "outputs": [],
      "source": [
        "# predicting\n",
        "test_data = [\n",
        "    'Hello'\n",
        "]\n",
        "test_seq = tokenizer.texts_to_sequences(test_data)\n",
        "padded_input = pad_sequences(test_seq, maxlen = max_len - 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "yMV8zW72gRq3",
        "outputId": "a36c5d7d-1898-4377-82a4-255a9b6cc05c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "63"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "padded_input[0].size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "7isfo8VbhlqY"
      },
      "outputs": [],
      "source": [
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "4KozbJMMguvQ",
        "outputId": "f085988b-fd9a-4c08-e7ea-dc5933538dda"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "63"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_train[0].size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "ICu6OTSGf3q6",
        "outputId": "4c3b21b3-c6d7-4b5a-b664-68b4168a9a56"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 2s 2s/step\n"
          ]
        }
      ],
      "source": [
        "predict = model.predict(x = padded_input)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "yBi8LjomjnY9",
        "outputId": "c6743643-80bf-4dae-e7e5-3b97cf668b5b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[3.63324060e-09, 4.74640949e-09, 9.83737051e-01, 2.07683806e-05,\n",
              "        6.19362155e-03, 1.27872534e-03, 1.30245380e-05, 4.01020108e-04,\n",
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              "        4.41269554e-09, 3.36968604e-08, 1.42291752e-08, 4.01454372e-08,\n",
              "        1.02116999e-08, 6.45850022e-08, 3.51769351e-08, 5.92637015e-08,\n",
              "        1.14100667e-08, 1.20131745e-08, 5.90876596e-07, 4.22631383e-05,\n",
              "        2.19194408e-06, 4.62935495e-05, 2.91224422e-09, 2.15407070e-08,\n",
              "        7.41847543e-08, 1.84992018e-06, 8.24835755e-09, 1.89486926e-07,\n",
              "        7.49627138e-10, 5.38247047e-09, 1.55903592e-08, 7.20214999e-11,\n",
              "        1.42147916e-09, 1.51292099e-08, 2.28902852e-08, 1.77959212e-08,\n",
              "        3.89015931e-09, 3.77209730e-09, 1.96022739e-07, 1.10685598e-07,\n",
              "        2.45699405e-10, 2.30848141e-09, 3.16591175e-09, 1.26470965e-07,\n",
              "        2.17623352e-07, 1.89568965e-07, 3.92993336e-08, 5.78461001e-10,\n",
              "        7.68056108e-09, 1.47507206e-08, 1.14547298e-07, 1.47789038e-07,\n",
              "        1.96949088e-08, 1.93951522e-08, 8.42383274e-10, 3.85583832e-09,\n",
              "        4.33389635e-09, 6.99324332e-09, 4.37916796e-08, 2.46582275e-08,\n",
              "        2.53396422e-07, 7.57250120e-08, 8.86184637e-09, 3.73930353e-09,\n",
              "        1.97170746e-09, 3.02996378e-10, 1.97009742e-10, 1.93682931e-10,\n",
              "        6.22700280e-10, 7.80974119e-10, 5.16982857e-09, 3.00783860e-08,\n",
              "        6.67830902e-09, 5.16501968e-05, 2.32637962e-08, 2.91131414e-07,\n",
              "        1.11992406e-08, 1.53846069e-09, 1.94915528e-10, 8.97716845e-10,\n",
              "        1.03842737e-07, 1.14812956e-07, 6.36678887e-09, 2.51828340e-07,\n",
              "        1.72638668e-08, 2.80467791e-08, 7.15114439e-08, 5.71987846e-10,\n",
              "        5.50749335e-10, 1.40134432e-07, 3.28893957e-09, 1.22391599e-08,\n",
              "        2.95724245e-09, 2.82127144e-09, 1.83736276e-10, 8.39986247e-10,\n",
              "        5.05572695e-09, 1.23079325e-09, 1.73680696e-08, 6.29340605e-07,\n",
              "        1.29876369e-07, 7.10508203e-08, 3.20365223e-09, 4.09789692e-07,\n",
              "        5.82805660e-06, 9.35273015e-09, 1.86840126e-07, 1.74545800e-08,\n",
              "        1.69729333e-07, 1.28434152e-09, 6.29859054e-10, 1.95198862e-08,\n",
              "        1.89156324e-07, 2.91031370e-06]], dtype=float32)"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "predict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "xcNkmkrch8SW",
        "outputId": "e4ded064-1545-451f-ae63-7628f3a34679"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pred_index = np.argmax(predict)\n",
        "pred_index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "r9T9FS_0iF4F",
        "outputId": "f3b6ea8d-8140-4300-a110-428726753b0b"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'arjvauo'"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tokenizer.index_word[pred_index]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "lCUbUDWQcfZ2",
        "outputId": "684f153b-577b-43c1-d792-5094de0933f7"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "' hello, i am A I chat bot. How may i help you . '"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "question ='Hello ARJVAUO hello, i am A I chat bot. How may i help you . OUAVJRA'\n",
        "question.split('ARJVAUO')[1].split('OUAVJRA')[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "f8YQ2r_jcL_q"
      },
      "outputs": [],
      "source": [
        "# Hello ARJVAUO hello, i am A I chat bot. How may i help you . OUAVJRA\n",
        "\n",
        "def predict(question):\n",
        "\n",
        "  next_word = ''\n",
        "  while next_word != 'ouavjra':\n",
        "    # preprocessing\n",
        "    question_sequence = tokenizer.texts_to_sequences([question])\n",
        "    padded_question = pad_sequences(question_sequence, maxlen = max_len)\n",
        "\n",
        "    # prediction\n",
        "    prediction = model.predict(x = padded_question)\n",
        "\n",
        "    # index of most_probable word\n",
        "    index_of_most_probable_word = np.argmax(prediction)\n",
        "    # index to word coversion\n",
        "    predicted_word = tokenizer.index_word[index_of_most_probable_word]\n",
        "\n",
        "    question += predicted_word\n",
        "\n",
        "    next_word = predicted_word\n",
        "\n",
        "\n",
        "  answer = question.split('arjvauo')[1].split('ouavjra')[0]\n",
        "\n",
        "  return answer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hZtkxq4yh8na",
        "outputId": "ac7fd9e8-d688-4d95-9764-de92ef7672b8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 1s 1s/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 63ms/step\n",
            "1/1 [==============================] - 0s 39ms/step\n",
            "1/1 [==============================] - 0s 39ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 39ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 44ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 39ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 39ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 44ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 42ms/step\n",
            "1/1 [==============================] - 0s 41ms/step\n",
            "1/1 [==============================] - 0s 45ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n",
            "1/1 [==============================] - 0s 40ms/step\n",
            "1/1 [==============================] - 0s 43ms/step\n"
          ]
        }
      ],
      "source": [
        "question = 'Hello'\n",
        "predict(question)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "U5I3iOkHh8jq"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "lNO93SWwepx3"
      },
      "outputs": [],
      "source": [
        "# plotting accuracy\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "zo3-dIYAjARd"
      },
      "outputs": [],
      "source": [
        "y = history.history['accuracy']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "HO7TKhj1ev9L"
      },
      "outputs": [],
      "source": [
        "plt.plot(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qmgXMP6MjFr7"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}