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Update app.py
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app.py
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@@ -2,7 +2,7 @@ import pandas as pd
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import streamlit as st
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from transformers import pipeline
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from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, balanced_accuracy_score
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-
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# Charger le modèle pré-entraîné
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classifier_model = "morit/french_xlm_xnli"
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#classifier_model ="MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
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import streamlit as st
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from transformers import pipeline
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from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, balanced_accuracy_score
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from PIL import Image
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# Charger le modèle pré-entraîné
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classifier_model = "morit/french_xlm_xnli"
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#classifier_model ="MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
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