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import torch
import textwrap
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, MarianTokenizer, MarianMTModel

def chunk_examples(txt_list, width):
    chunks = []
    for sentence in txt_list:        
        chunks += textwrap.wrap(sentence, width=width)
    return chunks

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# Ran it with the following packages installed:
# accelerate                   0.18.0
# diffusers                    0.16.0.dev0
# torch                        2.0.0+cu118
# torchvision                  0.15.0+cu118
# transformers                 4.28.1
# xformers                     0.0.18

import torch
from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler

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#pip install hebrew

import sys
from hebrew import Hebrew

def open_input_file_name(file_name):
    try:
        file = open(file_name, "r")        
        return file
    except FileNotFoundError:

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