Create test/

test

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+# tests/test_model.py
+import pytest
+from transformers import pipeline
+
+class TestOrcaleSeek:
+    def setup_method(self):
+        self.classifier = pipeline(
+            "text-classification", 
+            model="your-username/OrcaleSeek"
+        )
+    
+    def test_basic_prediction(self):
+        result = self.classifier("This is great!")
+        assert isinstance(result, list)
+        assert 'label' in result[0]
+        assert 'score' in result[0]
+    
+    def test_batch_prediction(self):
+        texts = ["First text", "Second text"]
+        results = self.classifier(texts)
+        assert len(results) == 2
+    
+    def test_edge_cases(self):
+        # Test empty string
+        result = self.classifier("")
+        assert result is not None
+        
+        # Test very long string
+        long_text = "word " * 1000
+        result = self.classifier(long_text)
+        assert result is not None