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import unittest | |
from transformers import pipeline | |
classifier = pipeline("text-classification", model="./models") | |
class TestModel(unittest.TestCase): | |
def test_positive_sentiment(self): | |
result = classifier("I love this product!")[0] | |
self.assertIn(result["label"], ["LABEL_0", "LABEL_1", "LABEL_2"]) | |
def test_negative_sentiment(self): | |
result = classifier("This is terrible, I hate it.")[0] | |
self.assertIn(result["label"], ["LABEL_0", "LABEL_1", "LABEL_2"]) | |
if __name__ == "__main__": | |
unittest.main() | |