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Update app.py
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app.py
CHANGED
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@@ -2,12 +2,14 @@ import gradio as gr
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import spaces
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from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM
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@spaces.GPU
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def translate_text(input_text, sselected_language, tselected_language, model_name):
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langs = {"English": "en", "Romanian": "ro", "German": "de", "French": "fr", "Spanish": "es", "Italian": "it"}
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sl = langs[sselected_language]
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tl = langs[tselected_language]
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if model_name == "Helsinki-NLP":
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try:
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model_name_full = f"Helsinki-NLP/opus-mt-{sl}-{tl}"
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@@ -18,11 +20,9 @@ def translate_text(input_text, sselected_language, tselected_language, model_nam
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model_name_full = f"Helsinki-NLP/opus-tatoeba-{sl}-{tl}"
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tokenizer = AutoTokenizer.from_pretrained(model_name_full)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
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except EnvironmentError:
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
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else:
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tokenizer = T5Tokenizer.from_pretrained(model_name)
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model = T5ForConditionalGeneration.from_pretrained(model_name)
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@@ -38,9 +38,6 @@ def translate_text(input_text, sselected_language, tselected_language, model_nam
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return translated_text
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options = ["German", "Romanian", "English", "French", "Spanish", "Italian"]
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models = ["Helsinki-NLP", "t5-base", "t5-small", "t5-large"]
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# Define a function to swap dropdown values
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def swap_languages(src_lang, tgt_lang):
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return tgt_lang, src_lang
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import spaces
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from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM
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langs = {"English": "en", "Romanian": "ro", "German": "de", "French": "fr", "Spanish": "es", "Italian": "it"}
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sl = langs[sselected_language]
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tl = langs[tselected_language]
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options = ["German", "Romanian", "English", "French", "Spanish", "Italian"]
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models = ["Helsinki-NLP", "t5-base", "t5-small", "t5-large"]
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@spaces.GPU
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def translate_text(input_text, sselected_language, tselected_language, model_name):
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if model_name == "Helsinki-NLP":
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try:
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model_name_full = f"Helsinki-NLP/opus-mt-{sl}-{tl}"
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model_name_full = f"Helsinki-NLP/opus-tatoeba-{sl}-{tl}"
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tokenizer = AutoTokenizer.from_pretrained(model_name_full)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
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except EnvironmentError as error:
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return f"Error finding required model! Try other available language combination. Error: {error}"
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else:
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tokenizer = T5Tokenizer.from_pretrained(model_name)
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model = T5ForConditionalGeneration.from_pretrained(model_name)
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return translated_text
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# Define a function to swap dropdown values
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def swap_languages(src_lang, tgt_lang):
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return tgt_lang, src_lang
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