diff --git a/project/chatbot.ipynb b/project/chatbot.ipynb new file mode 100644 index 0000000..aa33982 --- /dev/null +++ b/project/chatbot.ipynb @@ -0,0 +1,332 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Empathic chatbot\n", + "\n", + "## Dataset:\n", + "- https://huggingface.co/datasets/sedthh/ubuntu_dialogue_qa\n", + "\n", + "## Fine-tuned model:\n", + "- https://huggingface.co/kedudzic/flan_ubuntu_v2\n", + "\n", + "Careful: instatiating the chatbot too many times in one session will crash the notebook due to a RAM shortage!" + ], + "metadata": { + "id": "zJPY1-K6m4jQ" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install -q transformers emoji xformers" + ], + "metadata": { + "id": "_fel66sU9WgD" + }, + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import pipeline, AutoModelForSeq2SeqLM, AutoTokenizer, logging\n", + "import torch\n", + "import random\n", + "from emoji import emojize\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\", category=UserWarning)" + ], + "metadata": { + "id": "UhrxmXlO9XFD" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "class Chatbot:\n", + " def __init__(self):\n", + " self.emotion_classifier = pipeline('text-classification', model='j-hartmann/emotion-english-distilroberta-base')\n", + " self.qa_model = AutoModelForSeq2SeqLM.from_pretrained('kedudzic/flan_ubuntu_v2')\n", + " self.qa_tokenizer = AutoTokenizer.from_pretrained('kedudzic/flan_ubuntu_v2')\n", + " self.empathic_phrases = {'anger': {'phrases': [\"Grrr! That's a good reason to be angry! But let's cool down slowly.\",\n", + " \"You being angry makes me angry as well! Give half of your anger to me!\",\n", + " \"Let's be angry together and blow off some steam!\",\n", + " \"You're angry? That would make anyone angry! I understand you well.\",\n", + " \"Be angry as much as you want with me! Let it out!\"],\n", + " 'emoji': f\"{emojize(':enraged_face:')}\"},\n", + " 'disgust': {'phrases': [\"Yuck! That's disgusting! I get you.\",\n", + " \"Eughh! Anyone would be disgusted by this!\",\n", + " \"That's so so so disgusting... It's only natural to feel like that.\",\n", + " \"I'm disgusted just by listening to it! You're not alone!\",\n", + " \"Yikes! I understand your disgust.\"],\n", + " 'emoji': f\"{emojize(':nauseated_face:')}\"},\n", + " 'fear': {'phrases': [\"Aah! That's scary! Are you ok?\",\n", + " \"You're scaring me too! Try to think about something else.\",\n", + " \"You're sending shivers down my spine! You're brave to talk about it to me.\",\n", + " \"Stop saying such scary things! Let's change the topic soon.\",\n", + " \"Terrifying stuff! I hope it doesn't make you feel bad.\"],\n", + " 'emoji': f\"{emojize(':face_screaming_in_fear:')}\"},\n", + " 'joy': {'phrases': [\"You're happy? I'm happy!\",\n", + " \"That's good to hear!\",\n", + " \"You're having a good day aren't you?\",\n", + " \"I see you're doing great!\",\n", + " \"Good to see you happy!\"],\n", + " 'emoji': f\"{emojize(':beaming_face_with_smiling_eyes:')}\"},\n", + " 'neutral': {'phrases': [''], 'emoji': f\"{emojize(':slightly_smiling_face:')}\"},\n", + " 'sadness': {'phrases': [\"I'm sorry to hear that!\",\n", + " \"Cheer up please, you're making me sad too!\",\n", + " \"Oh no... it'll be okay.\",\n", + " \"That's so sad... I understand you.\",\n", + " \"Nooo, I'm so sorry... I hope it'll get better.\"],\n", + " 'emoji': f\"{emojize(':worried_face:')}\"},\n", + " 'surprise': {'phrases': [\"Woah, that's unexpected!\",\n", + " \"Wow, really?!\",\n", + " \"That's surprising!\",\n", + " \"What?!\",\n", + " \"Who would've thought, right?\"],\n", + " 'emoji': f\"{emojize(':astonished_face:')}\"}\n", + " }\n", + "\n", + " def answer_question(self, model, tokenizer, question):\n", + " input_ids = tokenizer(f\"Answer the question: {question}\", return_tensors=\"pt\").input_ids\n", + " outputs = model.generate(input_ids, max_new_tokens=64, no_repeat_ngram_size=2)\n", + " answer = tokenizer.decode(outputs[0], skip_special_tokens=True)\n", + " return answer\n", + "\n", + " def add_empathy(self, question, answer):\n", + " emotion = self.emotion_classifier(question)[0]['label']\n", + " answer = f\"{random.choice(self.empathic_phrases[emotion]['phrases'])} {self.empathic_phrases[emotion]['emoji']} I think the answer to your question could be: {answer}\".strip()\n", + " return answer\n", + "\n", + " def generate_reply(self, utterance):\n", + " reply = self.answer_question(self.qa_model, self.qa_tokenizer, utterance)\n", + " reply = self.add_empathy(utterance, reply)\n", + " return reply\n", + "\n", + "chatbot = Chatbot()" + ], + "metadata": { + "id": "kEZ4BfWc9XJK" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "chatbot.generate_reply(\"I'm furious, I'm mad! I can't play games on Linux!!!!!!!\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + }, + "id": "AdqiE7sk2FkB", + "outputId": "a0b64407-affd-46b0-fdf8-87be0f716117" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "\"Grrr! That's a good reason to be angry! But let's cool down slowly. 😡 I think the answer to your question could be: i'm not sure if it's a problem with the kernel or something else, but ubuntu is based on linux, so it should work\"" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "source": [ + "chatbot.generate_reply(\"Can you run conky in a terminal? I was so surprised when I heard you apparently can!\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "eKhxVU4e2FmE", + "outputId": "1f5797c7-b01a-4610-9584-33ffed9de2e6" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "\"Who would've thought, right? 😲 I think the answer to your question could be: if you're using a terminal, you can use'sudo apt-get install conky'\"" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 5 + } + ] + }, + { + "cell_type": "code", + "source": [ + "chatbot.generate_reply(\"hi I installed a new gpu but ubuntu wont find it, what can I do to 'rescan' for the newly installed one? I'm scared it's broken!\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "sDj84eGY2FoK", + "outputId": "90186b39-d8bb-46eb-83a5-9bbaaa67edbc" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "\"You're scaring me too! Try to think about something else. 😱 I think the answer to your question could be: gparted\"" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 6 + } + ] + }, + { + "cell_type": "code", + "source": [ + "chatbot.generate_reply(\"Hello, do you know a good programming language for beginners? I want to program more, it makes me so happy!\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "bO5TAJzc2VGC", + "outputId": "70cb9e7e-ea47-4d88-c63f-5ee91a711f61" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "\"That's good to hear! 😁 I think the answer to your question could be: java\"" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 10 + } + ] + }, + { + "cell_type": "code", + "source": [ + "chatbot.generate_reply(\"What's pclos?\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "xKjFDH3U4PwF", + "outputId": "707ce0e4-5d09-4462-b433-56bcb53011b5" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'🙂 I think the answer to your question could be: pclos is a linux-based graphical user interface for gdm'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 8 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Chatbot" + ], + "metadata": { + "id": "HXheYhIJn1qr" + } + }, + { + "cell_type": "code", + "source": [ + "print(f\"Duck: Hello! I'm a rubber ducky chatbot here to help YOU - the troubled programmer! Talk to me about all your coding and computer worries. Quack! {emojize(':duck:')}\")\n", + "while True:\n", + " user_utterance = input(f\"User: \")\n", + " if user_utterance.lower() == 'exit':\n", + " print(f\"Duck: Bye. {emojize(':crying_face:')} Quack! {emojize(':duck:')}\")\n", + " break\n", + " reply = chatbot.generate_reply(user_utterance)\n", + " print('Duck:', reply)\n" + ], + "metadata": { + "id": "JWYROrDbn1Rb", + "outputId": "cda894f3-6757-45ca-c010-e917a871e767", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Duck: Hello! I'm a rubber ducky chatbot here to help YOU - the troubled programmer! Talk to me about all your coding and computer worries. Quack! 🦆\n", + "User: how to remove directory with content? im so pissed right now OMG~!!\n", + "Duck: Grrr! That's a good reason to be angry! But let's cool down slowly. 😡 I think the answer to your question could be: rm -r\n", + "User: HOW TO CHANGE PERMISSIONS OF FILE TO EXECECUTE IT. I'm so affraid because its not working\n", + "Duck: Terrifying stuff! I hope it doesn't make you feel bad. 😱 I think the answer to your question could be: if you want to execute it, you can use'sudo apt-get install gksuite'\n", + "User: The default Ubuntu color scheme is so disgusting! Can I change it?\n", + "Duck: Yikes! I understand your disgust. 🤢 I think the answer to your question could be: i think you can change the color of the background\n", + "User: exit\n", + "Duck: Bye. 😢 Quack! 🦆\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/project/documentation.md b/project/documentation.md new file mode 100644 index 0000000..5508520 --- /dev/null +++ b/project/documentation.md @@ -0,0 +1,53 @@ +# Dokumentacja +

+## 1. Zarys ogólny +Celem projektu było stworzenie chatbota pełniącego funkcję interaktywnej "gumowej kaczuszki" znanej z metody o tej samej nazwie stosowanej przez programistów. +## 2. Mapa empatii +![mapa](empathy_map.png) +## 3. Plan systemu sporządzony metodą "writing hills" +1. Sfera działalności: + - interaktywna żółta kaczka dla programisty + +2. Użytkownik: + - programiści i osoby techniczne + +3. Granice działania: + - potrafi prowadzić smalltalk o pracy programisty + - potrafi doradzić w rozwiązaniu problemu + - proponuje narzędzia lub metody użyteczne do rozwiązania problemów + - rozumie problemy i wyzwania w codziennej pracy programisty i potrafi się z nim empatyzować + - motywuje do pracy i do samorozwoju + - ALE: sama z siebie nic nie robi, tylko doradza/sugeruje. Nie przeszkadza w pracy, wchodzi w interakcję, gdy programista tego chce +## 4. System wartości chatbota +|Wartości| Etyka| Cechy charakteru| Granice| Zasady| +|--------|-------|------------------|----------|----------| +Empatia| Zrozumienie potrzeb i problemów programisty| Taktowny, cierpliwy, uważny| Nie oceniać programisty |Słuchać i starać się zrozumieć potrzeby użytkownika| +Profesjonalizm| Dbanie o jakość i terminowość realizacji zadań| Kompetentny, sumienny, rzetelny| Nie obiecywać czegoś, czego nie da się zrobić| Wywiązywać się z umowy i terminów| +Etos pracy zespołowej| Współpraca, szacunek dla zdania innych| Współpracujący, otwarty na sugestie| Nie dyskryminować ani uprzywilejowywać nikogo| Szanować zdanie i wkład każdego członka zespołu| +Otwartość i uczciwość| Otwartość na nowe pomysły i uczciwość w działaniu| Uczciwy, lojalny, niezawodny| Nie udawać, że wie coś, czego nie wie| Mówić prawdę i informować o ograniczeniach +Dyspozycyjność i dostępność| Szybka i skuteczna reakcja na zgłoszenia| Dostępny, pomocny, elastyczny| Nie ignorować zgłoszeń użytkowników| Odpowiadać na zgłoszenia w miarę możliwości| + +## 5. Model empatii +Chatbot wykorzystuje model matrioszki. Ma on dosyć prostą postać bezpośrednio powiązaną z pewnymi ustalonymi zasadami, według których tworzony był system. Podstawowymi zdolnościami empatycznymi są szacunek dla rozmówcy i otwartość, zawarte w samym sposobie, w jaki chatbot formułuje swoje kwestie - jest uprzejmy i nie narzucający się. +Przechodząc do specyficznych sytuacji konwersacyjnych, gdy np. gdy programista dzieli się z chatbotem frustracjami związanymi z niedziałającym kodem, są aktywowane bardziej specyficzne zaimplementowane zdolności empatyczne, jak np. współczucie wobec i zrozumienie trudnych sytuacji, z jakimi mierzą się w swojej pracy programiści. Jest odzwierciedlane w odpowiednim sposobie reagowania chatbota, który słucha programisty, pokazuje mu, że rozumie, że jest mu ciężko, i subtelnie proponuje kierunek dalszych działań. + +## 6. Struktura systemu +1. Postać systemu + + System ma postać aplikacji konsolowej napisanej czysto w języku Python. + +2. Dziedzina aktywności i dane treningowe + + Chatbot w zamyśle ma pomagać użytkownikom (programistom) z wszelkimi informatycznymi frustracjami, z którymi mogą się oni zmagać w swojej pracy. Z racji trudności stworzenia systemu tego typu czysto za pomocą reguł, przy jego budowie wykorzystane zostały techniki uczenia maszynowego. Mianowicie, został wytrenowany on na fragmencie zbioru danych [Ubuntu Dialogue Corpus](https://arxiv.org/abs/1506.08909) ograniczonym do par pytanie-odpowiedź, dostępnym na platformie [HuggingFace](https://huggingface.co/datasets/sedthh/ubuntu_dialogue_qa). Ubuntu Dialogue Corpus to zbiór ponad 7 milionów tur dialogowych z dialogów pozyskanych z archiwów czatu dotyczącego dystrybucji systemu Linux o nazwie Ubuntu. Ich tematyką jest pomoc techniczna i programistyczna. + +3. Architektura + + System ma prostą architekturę. Działając w pętli, przepuszcza on wypowiedzi użytkownika przez dwa moduły: moduł odpowiadania na pytania i moduł empatyczny. + + 3.1. moduł odpowiadania na pytania + + Do generacji odpowiedzi na pytania moduł ten wykorzystuje oparty na architekturze Transformer model [FLAN-T5](https://arxiv.org/pdf/2210.11416.pdf). Dokonany został własnoręczny fine-tuning tego modelu na danych opisanych powyżej, co w rezultacie dało wersję udostępnioną następnie na platformie [HuggingFace](https://huggingface.co/kedudzic/flan_ubuntu_v2). Z punktu widzenia implementacji moduł pobiera po prostu wypowiedź użytkownika, przepuszcza ją przez model, który generuje odpowiedź, a następnie przekazuje ją do modułu empatycznego. + + 3.2. moduł empatyczny + + Celem modułu empatycznego jest wzbogacenie odpowiedzi na pytanie o wyrażenie empatyczne i emotkę pełniącą funkcję "avatara" bota. Wykorzystuje do tego gotowy model oparty na architekturze Transformer po fine-tuningu: emotion-english-distilroberta-base (bazowy model to [distilroberta](https://arxiv.org/abs/1910.01108)) dostępny na platformie [HuggingFace](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base). Przyjęty został model [sześciu podstawowych emocji Paula Eckmana](https://www.paulekman.com/wp-content/uploads/2013/07/An-Argument-For-Basic-Emotions.pdf): złość, obrzydzenie, strach, radość, smutek, zaskoczenie, plus dodatkowa etykieta "neutral". Moduł analizuje pytanie użytkownika pod kątem dominującej emocji przy pomocy modelu i do odpowiedzi dołącza losową reakcję na zidentyfikowaną emocję wraz z odpowiadającą emotką, gdzie oba te elementy zaczerpnięte są z małej bazy zawierającej kilka reakcji i po jednej emotce na emocję. W podstawowej formie baza ta jest Pythonowym słownikiem, ale przy większych rozmiarach mogłaby np. być ładowana z pliku json. 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"model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + } + } + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Setup" + ], + "metadata": { + "id": "tZbwIaoXO3di" + } + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "n3ScGYli1QGA", + "outputId": "f87405c6-21e2-4e44-9a14-452ba643cfe7" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install -Uq transformers bitsandbytes accelerate datasets==2.0.0" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1qS0p25llt37", + "outputId": "4f94a7c3-2efa-4686-bfef-e552811ceea4" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.2/7.2 MB\u001b[0m \u001b[31m109.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m97.1/97.1 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m227.6/227.6 kB\u001b[0m \u001b[31m26.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m325.5/325.5 kB\u001b[0m \u001b[31m36.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + 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load_dataset(\"sedthh/ubuntu_dialogue_qa\", split=\"train\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 185, + "referenced_widgets": [ + "2c018927b9e74dee86fc97dee970cd6c", + "4cc2436063404812b7114ba85939633e", + "33e483d5bcd94e61a78a1dea33cbfda4", + "1599dbba5cc9475c8ca80309bfb243de", + "fbd3ab6145314c6eae8331fddfe6fe32", + "2910d1f68d544062bcc469034a614e7e", + "31084aeaa31f4545a0584a398898328a", + "2c681eb305ed4f45bd0529a152bc647f", + "889252306f5c472ca0c0cd5190db37b4", + "a0d7509c91b24135ba535b4d0351838f", + "836922f6474c406683c162b0eb835b57", + "3a3b01ed6b984499996cce1f0869cdcd", + "f71e573be8c94950bd4d35d2bc660948", + "2ae8a29617494e0c9b995fee5588d357", + "e0f96381a7a34ea7b22c19e563628bb6", + "9160b0fb1ee843c5a6b0ef8a46006ccd", + "ef21e3aea84245adb068aba34bb9bdba", + "e91b15ed58de429d94ad374633405316", + "08630d8a72ee45f594884b5000f13f0e", + "911d1f3c33fb4818ba34c7ad5e746a02", + "042e8af0aa2743c79b75d76a8b11d2c8", + 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Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/17 [00:00" + ], + "text/html": [ + "\n", + "
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" + ] + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "TrainOutput(global_step=24261, training_loss=2.8796593968087287, metrics={'train_runtime': 17543.4268, 'train_samples_per_second': 2.766, 'train_steps_per_second': 1.383, 'total_flos': 3.65470024955904e+16, 'train_loss': 2.8796593968087287, 'epoch': 3.0})" + ] + }, + "metadata": {}, + "execution_count": 8 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Save the model" + ], + "metadata": { + "id": "mDOXSmts1J-G" + } + }, + { + "cell_type": "code", + "source": [ + "trainer.model.save_pretrained('se_flan-t5_v2')\n", + "tokenizer.save_pretrained('se_flan-t5_v2')" + ], + "metadata": { + "id": "RN9rhtHw1KC9", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "7f939af3-3fc2-406d-cf5c-d1cb558ba61d" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "('se_flan-t5_v2/tokenizer_config.json',\n", + " 'se_flan-t5_v2/special_tokens_map.json',\n", + " 'se_flan-t5_v2/tokenizer.json')" + ] + }, + "metadata": {}, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "source": [ + "!rm -r /content/drive/MyDrive/se; mkdir /content/drive/MyDrive/se\n", + "!cp -r se_flan-t5_v2 /content/drive/MyDrive/se" + ], + "metadata": { + "id": "FPUZs3SZPQ4z", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "3dd3dd4f-65df-413c-ba5f-ec64a8244b83" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "rm: cannot remove '/content/drive/MyDrive/se': No such file or directory\n" + ] + } + ] + } + ] +} \ No newline at end of file