Upload 2 files
Browse files- app.py +21 -0
- requirements.txt +4 -0
app.py
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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import gradio as grad
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text2text_tkn= T5Tokenizer.from_pretrained("t5-small")
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mdl = T5ForConditionalGeneration.from_pretrained("t5-small")
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def text2text_deductible(sentence1,sentence2):
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inp1 = "rte sentence1: "+sentence1
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inp2 = "sentence2: "+sentence2
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combined_inp=inp1+" "+inp2
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enc = text2text_tkn(combined_inp, return_tensors="pt")
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tokens = mdl.generate(**enc)
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response=text2text_tkn.batch_decode(tokens)
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return response
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sent1=grad.Textbox(lines=1, label="Sentence1", placeholder="Text in English")
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sent2=grad.Textbox(lines=1, label="Sentence2", placeholder="Text in English")
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out=grad.Textbox(lines=1, label="Whether sentence2 is deductible from sentence1")
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grad.Interface(text2text_ deductible, inputs=[sent1,sent2], outputs=out).launch()
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requirements.txt
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gradio
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transformers
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torch
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transformers[sentencepiece]
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