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Pranav016Pranav016
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Imported Chatterbot Corpus and trained the bot
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‎Chatterbot.ipynb

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"colab": {
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"name": "Chatterbot.ipynb",
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"provenance": [],
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"authorship_tag": "ABX9TyNPtzmb+v4dT/M8GC0x7pRs",
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"authorship_tag": "ABX9TyPClhcvRnrxaETYnMfCehpV",
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"include_colab_link": true
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},
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"kernelspec": {
@@ -28,22 +28,22 @@
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"cell_type": "code",
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"metadata": {
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"id": "d7DQWH3k_27c",
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"outputId": "154c2200-e7a0-403e-d8bb-823d284fd208",
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"outputId": "d494a712-c94f-468d-a1e5-54d80e15cd0a",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"!pip install chatterbot"
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],
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"execution_count": null,
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"execution_count": 3,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Collecting chatterbot\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/7c/21/85c2b114bd9dfabdd46ba58fc4519acdaed45d8c70898d40079e37a45e67/ChatterBot-1.0.8-py2.py3-none-any.whl (63kB)\n",
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"\u001b[K |████████████████████████████████| 71kB 1.9MB/s \n",
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"\r\u001b[K |█████▏ | 10kB 16.1MB/s eta 0:00:01\r\u001b[K |██████████▎ | 20kB 21.7MB/s eta 0:00:01\r\u001b[K |███████████████▌ | 30kB 20.4MB/s eta 0:00:01\r\u001b[K |████████████████████▋ | 40kB 11.5MB/s eta 0:00:01\r\u001b[K |█████████████████████████▊ | 51kB 7.4MB/s eta 0:00:01\r\u001b[K |███████████████████████████████ | 61kB 7.9MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 71kB 4.6MB/s \n",
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"\u001b[?25hRequirement already satisfied: sqlalchemy<1.4,>=1.3 in /usr/local/lib/python3.6/dist-packages (from chatterbot) (1.3.20)\n",
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"Collecting mathparse<0.2,>=0.1\n",
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" Downloading https://files.pythonhosted.org/packages/c3/e5/4910fb85950cb960fcf3f5aabe1c8e55f5c9201788a1c1302b570a7e1f84/mathparse-0.1.2-py3-none-any.whl\n",
@@ -57,6 +57,34 @@
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}
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]
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "3zpUf0IjJ9aO",
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"outputId": "41f12228-3152-4f5e-f5ab-62ea13c9e744",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"!pip install chatterbot_corpus"
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],
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"execution_count": 4,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Collecting chatterbot_corpus\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/ed/19/f8b41daf36fe4b0f43e283a820362ffdb2c1128600ab4ee187e84262fa4d/chatterbot_corpus-1.2.0-py2.py3-none-any.whl (117kB)\n",
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"\r\u001b[K |██▉ | 10kB 16.9MB/s eta 0:00:01\r\u001b[K |█████▋ | 20kB 22.5MB/s eta 0:00:01\r\u001b[K |████████▍ | 30kB 14.0MB/s eta 0:00:01\r\u001b[K |███████████▏ | 40kB 9.4MB/s eta 0:00:01\r\u001b[K |██████████████ | 51kB 5.6MB/s eta 0:00:01\r\u001b[K |████████████████▊ | 61kB 6.5MB/s eta 0:00:01\r\u001b[K |███████████████████▋ | 71kB 7.4MB/s eta 0:00:01\r\u001b[K |██████████████████████▍ | 81kB 8.2MB/s eta 0:00:01\r\u001b[K |█████████████████████████▏ | 92kB 8.5MB/s eta 0:00:01\r\u001b[K |████████████████████████████ | 102kB 8.7MB/s eta 0:00:01\r\u001b[K |██████████████████████████████▊ | 112kB 8.7MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 122kB 8.7MB/s \n",
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"\u001b[?25hRequirement already satisfied: PyYAML<4.0,>=3.12 in /usr/local/lib/python3.6/dist-packages (from chatterbot_corpus) (3.13)\n",
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"Installing collected packages: chatterbot-corpus\n",
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"Successfully installed chatterbot-corpus-1.2.0\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
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"metadata": {
@@ -65,7 +93,7 @@
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"source": [
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"from chatterbot import ChatBot"
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],
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"execution_count": null,
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"execution_count": 5,
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"outputs": []
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},
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{
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"id": "34JnpuLFAk67"
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},
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"source": [
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"bot= ChatBot(\"Buddy\")"
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"bot = ChatBot(\n",
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" 'Pranav', \n",
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" logic_adapters=[\n",
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" 'chatterbot.logic.BestMatch',\n",
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" 'chatterbot.logic.TimeLogicAdapter'],\n",
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")"
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],
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"execution_count": null,
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"execution_count": 6,
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"outputs": []
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "1HIfQfQNAqP0"
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},
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"source": [
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"from chatterbot.trainers import ListTrainer"
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],
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"execution_count": 7,
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"outputs": []
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "OFLmWD_ZKQvG"
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},
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"source": [
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"trainer = ListTrainer(bot)"
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],
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"execution_count": 8,
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"outputs": []
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "47NnbZQsKT_w",
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"outputId": "b25df833-c3bd-45c1-a019-354d2ae09b98",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"trainer.train([\n",
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"'Hi',\n",
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"'Hello',\n",
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"'I need your assistance regarding my order',\n",
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"'Please, Provide me with your order id',\n",
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"'I have a complaint.',\n",
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"'Please elaborate, your concern',\n",
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"'How long it will take to receive an order ?',\n",
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"'An order takes 3-5 Business days to get delivered.',\n",
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"'Okay Thanks',\n",
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"'No Problem! Have a Good Day!'\n",
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"])"
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],
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"execution_count": 9,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"List Trainer: [####################] 100%\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "Q-6-d-l9KbQ-",
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"outputId": "a3d5ec42-3c38-4775-8ab3-acc791ea8ee1",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"name=input(\"Enter Your Name: \")\n",
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"print(\"Welcome to the Bot Service! Let me know how can I help you?\")\n",
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"while True:\n",
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" request=input(name+':')\n",
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" if request=='Bye' or request =='bye':\n",
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" print('Bot: Bye')\n",
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" break\n",
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" else:\n",
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" response=bot.get_response(request)\n",
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" print('Bot:',response)"
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],
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"execution_count": 13,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Enter Your Name: Pranav\n",
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"Welcome to the Bot Service! Let me know how can I help you?\n",
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"Pranav:Hi\n",
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"Bot: Hello\n",
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"Pranav:What is the Time\n",
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"Bot: The current time is 10:27 PM\n",
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"Pranav:bye\n",
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"Bot: Bye\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "-4NVLkLgKkli"
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},
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"source": [
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""
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],
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"execution_count": null,
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"execution_count": 13,
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"outputs": []
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}
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]

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