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AndriiPets
commited on
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•
90748dd
1
Parent(s):
7e83029
initial
Browse files- generator.py +3 -1
- utils/translators/en_ru/en_ru.py +2 -2
- utils/translators/en_ru/ru_en.py +2 -2
generator.py
CHANGED
@@ -11,12 +11,14 @@ from utils.api import generate_cook_image
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from utils.translators.translate_recepie import translate_recepie
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from utils.translators.translate_input import translate_input
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model_name_or_path = "flax-community/t5-recipe-generation"
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task = "text2text-generation"
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tokenizer = AutoTokenizer.from_pretrained(
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model_name_or_path
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generator = pipeline(task, model=model_name_or_path,
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tokenizer=model_name_or_path)
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from utils.translators.translate_recepie import translate_recepie
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from utils.translators.translate_input import translate_input
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+
os.environ['TRANSFORMERS_CACHE'] = './cache'
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model_name_or_path = "flax-community/t5-recipe-generation"
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task = "text2text-generation"
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tokenizer = AutoTokenizer.from_pretrained(
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model_name_or_path)
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generator = pipeline(task, model=model_name_or_path,
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tokenizer=model_name_or_path)
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utils/translators/en_ru/en_ru.py
CHANGED
@@ -2,9 +2,9 @@
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from transformers import FSMTForConditionalGeneration, FSMTTokenizer
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mname = "facebook/wmt19-en-ru"
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tokenizer = FSMTTokenizer.from_pretrained(
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mname
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model = FSMTForConditionalGeneration.from_pretrained(
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mname
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def translator_en_ru(text):
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from transformers import FSMTForConditionalGeneration, FSMTTokenizer
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mname = "facebook/wmt19-en-ru"
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tokenizer = FSMTTokenizer.from_pretrained(
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mname)
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model = FSMTForConditionalGeneration.from_pretrained(
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mname)
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def translator_en_ru(text):
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utils/translators/en_ru/ru_en.py
CHANGED
@@ -2,9 +2,9 @@
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from transformers import FSMTForConditionalGeneration, FSMTTokenizer
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mname = "facebook/wmt19-ru-en"
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tokenizer = FSMTTokenizer.from_pretrained(
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mname
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model = FSMTForConditionalGeneration.from_pretrained(
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mname
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def translate_ru_en(text):
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from transformers import FSMTForConditionalGeneration, FSMTTokenizer
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mname = "facebook/wmt19-ru-en"
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tokenizer = FSMTTokenizer.from_pretrained(
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mname)
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model = FSMTForConditionalGeneration.from_pretrained(
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mname)
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def translate_ru_en(text):
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