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Update app.py
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app.py
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@@ -27,12 +27,12 @@
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# # Launch the interface
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# gr.Interface(fn=predict, inputs=gr.inputs.Textbox, outputs=gr.outputs.Textbox).launch(share=False)
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from transformers import
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import gradio as grad
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model_name = "MiVaCod/mbart-neutralization"
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text2text_tkn= MBart50Tokenizer.from_pretrained(model_name)
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mdl =
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def text2text_paraphrase(sentence1):
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inp1 = "rte sentence1: "+sentence1
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# # Launch the interface
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# gr.Interface(fn=predict, inputs=gr.inputs.Textbox, outputs=gr.outputs.Textbox).launch(share=False)
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from transformers import MBartForConditionalGeneration, MBart50Tokenizer
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import gradio as grad
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model_name = "MiVaCod/mbart-neutralization"
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text2text_tkn= MBart50Tokenizer.from_pretrained(model_name)
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mdl = MBartForConditionalGeneration.from_pretrained(model_name)
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def text2text_paraphrase(sentence1):
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inp1 = "rte sentence1: "+sentence1
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