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import copy
import os
from dataclasses import dataclass
from typing import List, Union

import cv2
import numpy as np
from PIL import Image

import insightface

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import glob
import logging
import os
import re
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, Union

import numpy as np
import torch

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{
    "meta": {
        "generated_by": "sd_parseq",
        "version": "0.1.105",
        "generated_at": "Mon, 09 Oct 2023 07:52:05 GMT",
        "doc_id": "doc-7a8f1e36-d527-4afd-af8d-79e4cd7f89ba",
        "version_id": "version-64646a58-ae59-491f-9563-effa5bf90b4b"
    },
    "prompts": {
        "format": "v2",

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#@title 1.1 CivitAI.com - Tool download đầy đủ thông tin: Model file, config file, hình preview, file mô tả...
#@markdown [![Badge with Link](https://img.shields.io/badge/CivitAI.com-DOWNLOAD_MODEL_ALL-%2300A8E1?style=flat&logo=GITLAB&logoColor=84a805)](https://stablediffusion.edu.vn/)

from google.colab import drive
drive.mount('/content/gdrive')

# -*- coding: UTF-8 -*-
# handle msg between js and python side
import os
import time

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import torch
import pytorch_lightning as pl
from datasets import load_dataset, load_metric
from transformers import T5Config, T5ForConditionalGeneration

from transformers import (
    AutoModel,
    AutoModelForSeq2SeqLM,
    AutoTokenizer,
    DataCollatorForSeq2Seq,

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import pandas as pd
import pytorch_lightning as pl
from torch.utils.data import Dataset
import torch


class cnn_dailymail(Dataset):
    def __init__(self, csv_file, tokenizer, max_length=512):
        self.data = pd.read_csv(csv_file)

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text	sentiment
@VirginAmerica What @dhepburn said.	neutral
@VirginAmerica it was amazing, and arrived an hour early. You're too good to me.	positive
@VirginAmerica I <3 pretty graphics. so much better than minimal iconography. :D	positive
@VirginAmerica So excited for my first cross country flight LAX to MCO I've heard nothing but great things about Virgin America. #29DaysToGo	positive
I ❤️ flying @VirginAmerica. ☺️👍	positive
@VirginAmerica you know what would be amazingly awesome? BOS-FLL PLEASE!!!!!!! I want to fly with only you.	positive
@VirginAmerica I love this graphic. http://t.co/UT5GrRwAaA	positive
@VirginAmerica I love the hipster innovation. You are a feel good brand.	positive
@VirginAmerica will you be making BOS>LAS non stop permanently anytime soon?	neutral

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root@83b2e028e1a8:/workspace# fuser -k 3000/tcp
cd /workspace/stable-diffusion-webui
python relauncher.py
Relauncher: Launching...

################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye)
################################################################

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from transformers import AutoModelForCausalLM, AutoTokenizer, default_data_collator,DefaultDataCollator,DataCollatorWithPadding, get_linear_schedule_with_warmup
from peft import get_peft_config, get_peft_model, PromptTuningInit, PromptTuningConfig, TaskType, PeftType
import torch,os,random
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm
from evaluate import load as load_metric
from transformers import AdamW

model_name_or_path = "bigscience/bloomz-560m" #@param

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{"question":"How to use the sessionstate feature in Streamlit","document_title":"What is serializable session state?","document_link":"https://docs.streamlit.io/knowledge-base/using-streamlit/serializable-session-state#pickle.PicklingError","document_text":"## Serializable Session State\n\nSerialization refers to the process of converting an object or data structure into a format that can be persisted and shared, and allowing you to recover the data’s original structure. Python’s built-in [pickle](https://docs.python.org/3/library/pickle.html) module serializes Python objects to a byte stream (\"pickling\") and deserializes the stream into an object (\"unpickling\").\n\nBy default, Streamlit’s [Session State](https://docs.streamlit.io/library/advanced-features/session-state) allows you to persist any Python object for the duration of the session, irrespective of the object’s pickle-serializability. This property lets you store Python primitives such as integers, floating-point numbers, complex numbers and boo