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Update app.py
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app.py
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@@ -2,6 +2,8 @@ import streamlit as st
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from transformers import pipeline
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import torch
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import matplotlib.pyplot as plt
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#pipe = pipeline(model="RuudVelo/dutch_news_classifier_bert_finetuned")
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#text = st.text_area('Please type/copy/paste the Dutch article')
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@@ -33,6 +35,9 @@ tokenizer = BertTokenizer.from_pretrained("RuudVelo/dutch_news_clf_bert_finetune
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# Title
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st.title("Dutch news article classification")
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text = st.text_area('Please type/copy/paste text of the Dutch article')
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#if text:
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from transformers import pipeline
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import torch
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import matplotlib.pyplot as plt
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from PIL import Image
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#pipe = pipeline(model="RuudVelo/dutch_news_classifier_bert_finetuned")
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#text = st.text_area('Please type/copy/paste the Dutch article')
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# Title
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st.title("Dutch news article classification")
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image = Image.open('dataset-cover_articles.jpg')
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st.image(image,=)# caption='Artic')
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text = st.text_area('Please type/copy/paste text of the Dutch article')
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#if text:
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