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vishwask commited on
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1 Parent(s): e28982d

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -35,14 +35,14 @@ translation_tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-lar
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  def english_to_hindi(sentence):
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  translation_tokenizer.src_lang = "en_xx"
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- encoded_hi = translation_tokenizer(article_hi, return_tensors="pt")
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  generated_tokens = translation_model.generate(**encoded_hi, forced_bos_token_id=translation_tokenizer.lang_code_to_id["hi_IN"] )
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  return (translation_tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
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  def hindi_to_english(sentence):
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  translation_tokenizer.src_lang = "hi_IN"
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- encoded_hi = translation_tokenizer(article_hi, return_tensors="pt")
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  generated_tokens = translation_model.generate(**encoded_hi, forced_bos_token_id=translation_tokenizer.lang_code_to_id["en_XX"] )
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  return (translation_tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
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  def english_to_hindi(sentence):
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  translation_tokenizer.src_lang = "en_xx"
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+ encoded_hi = translation_tokenizer(sentence, return_tensors="pt")
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  generated_tokens = translation_model.generate(**encoded_hi, forced_bos_token_id=translation_tokenizer.lang_code_to_id["hi_IN"] )
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  return (translation_tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
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  def hindi_to_english(sentence):
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  translation_tokenizer.src_lang = "hi_IN"
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+ encoded_hi = translation_tokenizer(sentence, return_tensors="pt")
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  generated_tokens = translation_model.generate(**encoded_hi, forced_bos_token_id=translation_tokenizer.lang_code_to_id["en_XX"] )
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  return (translation_tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
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