try to fix bug

Author: voorhs

autointent/modules/embedding/_logreg.py

@@ -81,7 +81,8 @@ def from_context(
 
     def clear_cache(self) -> None:
         """Clear embedder from memory."""
-        self._embedder.clear_ram()
+        if hasattr(self, "_embedder"):
+            self._embedder.clear_ram()
 
     def fit(self, utterances: list[str], labels: ListOfLabels) -> None:
         """Train the logistic regression model using the provided utterances and labels.
@@ -90,9 +91,6 @@ def fit(self, utterances: list[str], labels: ListOfLabels) -> None:
             utterances: List of text data to index
             labels: List of corresponding labels for the utterances
         """
-        if hasattr(self, "_embedder"):
-            self.clear_cache()
-
         self._validate_task(labels)
 
         self._embedder = Embedder(

autointent/modules/embedding/_retrieval.py

@@ -83,9 +83,6 @@ def fit(self, utterances: list[str], labels: ListOfLabels) -> None:
             utterances: List of text data to index
             labels: List of corresponding labels for the utterances
         """
-        if hasattr(self, "_vector_index"):
-            self.clear_cache()
-
         self._validate_task(labels)
 
         self._vector_index = VectorIndex(
@@ -140,7 +137,8 @@ def get_assets(self) -> EmbeddingArtifact:
 
     def clear_cache(self) -> None:
         """Clear cached data in memory used by the vector index."""
-        self._vector_index.clear_ram()
+        if hasattr(self, "_vector_index"):
+            self._vector_index.clear_ram()
 
     def predict(self, utterances: list[str]) -> list[ListOfLabels]:
         """Predict the nearest neighbors for a list of utterances.