fix: set model name

tests/unit/test_chunkers.py

@@ -13,14 +13,16 @@
     StatisticalChunker,
 )
 
+ENCODER_NAME = "text-embedding-3-small"
+
 
 def test_consecutive_sim_splitter():
     # Create a Mock object for the encoder
     mock_encoder = Mock()
     mock_encoder.return_value = np.array([[1, 0], [1, 0.1], [0, 1]])
 
     encoder = OpenAIEncoder(
-        name="",
+        name=ENCODER_NAME,
         openai_api_key="a",
     )
     # Instantiate the ConsecutiveSimSplitter with the mock encoder
@@ -55,7 +57,7 @@ async def async_return(*args, **kwargs):
     mock_encoder.acall.side_effect = async_return
 
     encoder = OpenAIEncoder(
-        name="",
+        name=ENCODER_NAME,
         openai_api_key="a",
     )
     # Instantiate the ConsecutiveSimSplitter with the mock encoder
@@ -91,7 +93,7 @@ def test_cumulative_sim_splitter():
 
     # Instantiate the CumulativeSimSplitter with the mock encoder
     encoder = OpenAIEncoder(
-        name="",
+        name=ENCODER_NAME,
         openai_api_key="a",
     )
     splitter = CumulativeChunker(encoder=encoder, score_threshold=0.9)
@@ -127,7 +129,7 @@ async def test_async_cumulative_sim_splitter():
 
     # Instantiate the CumulativeSimSplitter with the mock encoder
     encoder = OpenAIEncoder(
-        name="",
+        name=ENCODER_NAME,
         openai_api_key="a",
     )
     splitter = CumulativeChunker(encoder=encoder, score_threshold=0.9)
@@ -181,7 +183,7 @@ def test_statistical_chunker():
     mock_encoder.side_effect = lambda docs: np.array([[1, 0] for _ in docs])
 
     encoder = OpenAIEncoder(
-        name="",
+        name=ENCODER_NAME,
         openai_api_key="a",
     )
     # Instantiate the ConsecutiveSimSplitter with the mock encoder