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import streamlit as st |
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import utils |
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from transformers import pipeline |
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from transformers import AutoTokenizer |
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from transformers import AutoModelForSequenceClassification |
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model_berto='hackathon-somos-nlp-2023/DiagTrast-Berto' |
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tokenizer_berto = AutoTokenizer.from_pretrained(model_berto) |
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classifier_berto = pipeline("text-classification", model=model_berto) |
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model_xml='hackathon-somos-nlp-2023/DiagTrast-Berto' |
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tokenizer_xml = AutoTokenizer.from_pretrained(model_xml) |
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classifier_xml = pipeline("text-classification", model=model_xml) |
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st.title('Diagn贸stico de Trastornos Mentales') |
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sintomas = st.text_input(label = 'Introduce s铆ntomas y presiona Enter', |
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value = 'La gente cuando me ve por la calle me mira y halagan mi belleza') |
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pred_berto = classifier_berto(utils.clean_text(sintomas)) |
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pred_xml = classifier_xml(utils.clean_text(sintomas)) |
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st.markdown('Predicci贸n BERTO: ' + pred_berto[0]['label']) |
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st.markdown('Predicci贸n xml: ' + pred_xml[0]['label']) |
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