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Using an HF classification model for testing.
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app.py
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@@ -11,11 +11,13 @@ from sklearn.feature_extraction.text import CountVectorizer
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from sklearn.feature_extraction.text import TfidfVectorizer
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# file name
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lr_filename = 'logistic_regression.pkl'
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# Load model from pickle file
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model = pickle.load(open(lr_filename, 'rb'))
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# Process input text, including removing stopwords, converting to lowercase, and removing punctuation
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stop = stopwords.words('english')
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def process_text(text):
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from sklearn.feature_extraction.text import TfidfVectorizer
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# file name
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#lr_filename = 'logistic_regression.pkl'
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lr_filename = 'skops-tests/textclassification-sklearn-latest-logistic_regression-with-config-pickle'
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# Load model from pickle file
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model = pickle.load(open(lr_filename, 'rb'))
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# Process input text, including removing stopwords, converting to lowercase, and removing punctuation
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stop = stopwords.words('english')
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def process_text(text):
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