add more tests

tests/unit/encoders/test_huggingface.py

 import pytest
 import numpy as np
+from unittest.mock import patch
 from semantic_router.encoders.huggingface import HuggingFaceEncoder
 
 
+encoder = HuggingFaceEncoder()
+
+
 class TestHuggingFaceEncoder:
-    def test_huggingface_encoder(self):
-        encoder = HuggingFaceEncoder()
+    def test_huggingface_encoder_import_errors_transformers(self):
+        with patch.dict("sys.modules", {"transformers": None}):
+            with pytest.raises(ImportError) as error:
+                HuggingFaceEncoder()
+
+        assert "Please install transformers to use HuggingFaceEncoder" in str(
+            error.value
+        )
+
+    def test_huggingface_encoder_import_errors_torch(self):
+        with patch.dict("sys.modules", {"torch": None}):
+            with pytest.raises(ImportError) as error:
+                HuggingFaceEncoder()
+
+        assert "Please install Pytorch to use HuggingFaceEncoder" in str(error.value)
+
+    def test_huggingface_encoder_mean_pooling(self):
+        test_docs = ["This is a test", "This is another test"]
+        embeddings = encoder(test_docs, pooling_strategy="mean")
+        assert isinstance(embeddings, list)
+        assert len(embeddings) == len(test_docs)
+        assert all(isinstance(embedding, list) for embedding in embeddings)
+        assert all(len(embedding) > 0 for embedding in embeddings)
+
+    def test_huggingface_encoder_max_pooling(self):
         test_docs = ["This is a test", "This is another test"]
-        embeddings = encoder(test_docs)
+        embeddings = encoder(test_docs, pooling_strategy="max")
         assert isinstance(embeddings, list)
         assert len(embeddings) == len(test_docs)
         assert all(isinstance(embedding, list) for embedding in embeddings)
         assert all(len(embedding) > 0 for embedding in embeddings)
 
     def test_huggingface_encoder_normalized_embeddings(self):
-        encoder = HuggingFaceEncoder()
         docs = ["This is a test document.", "Another test document."]
         unnormalized_embeddings = encoder(docs, normalize_embeddings=False)
         normalized_embeddings = encoder(docs, normalize_embeddings=True)
@@ -34,9 +60,3 @@ class TestHuggingFaceEncoder:
                 rtol=1e-5,
                 atol=1e-5,  # Adjust tolerance levels
             )
-
-    def test_huggingface_encoder_invalid_pooling_strategy(self):
-        encoder = HuggingFaceEncoder()
-        docs = ["This is a test document.", "Another test document."]
-        with pytest.raises(ValueError):
-            encoder(docs, pooling_strategy="invalid_strategy")