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test_model.py

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+"""
+Simple test script for the text classification model
+"""
+
+from text_classifier import TextClassifier
+
+def test_model():
+    classifier = TextClassifier()
+    
+    # Test cases
+    test_cases = [
+        ("I love this product!", "positive"),
+        ("This is terrible.", "negative"),
+        ("It's okay, nothing special.", None),  # Could be positive or neutral
+    ]
+    
+    print("Testing Text Classification Model:")
+    print("-" * 40)
+    
+    for text, expected_label in test_cases:
+        result = classifier.predict(text)
+        print(f"Input: {text}")
+        print(f"Predicted: {result['label']} (confidence: {result['confidence']})")
+        if expected_label:
+            print(f"Expected: {expected_label}")
+        print()
+    
+    print("Test completed successfully!")
+
+if __name__ == "__main__":
+    test_model()