Debugging code.

app.py

@@ -10,12 +10,14 @@ nltk.download('stopwords')
 from sklearn.feature_extraction.text import CountVectorizer
 from sklearn.feature_extraction.text import TfidfVectorizer
 
+from transformers import pipeline
+
 # file name
 #lr_filename = 'logistic_regression.pkl'
-lr_filename = 'skops-tests/textclassification-sklearn-latest-logistic_regression-with-config-pickle'
+model = pipeline("sentiment-analysis", model="scikit-learn/skorch-text-classification")
 
 # Load model from pickle file
-model = pickle.load(open(lr_filename, 'rb'))
+# model = pickle.load(open(lr_filename, 'rb'))
 
 
 # Process input text, including removing stopwords, converting to lowercase, and removing punctuation