forth commit

main.py

@@ -1,5 +1,5 @@
 from fastapi import FastAPI, HTTPException
-from services.sms_service import predict_label, compute_cosine_similarity, get_embedding_from_transformer
+from services.sms_service import predict_label, compute_cosine_similarity, get_embedding
 from schemas.input_schemas import CosineSimilarityInput, MessageInput, EmbeddingInput
 
 app = FastAPI()

services/sms_service.py

@@ -47,7 +47,7 @@ async def compute_cosine_similarity(text1: str, text2: str):
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Error computing similarity: {str(e)}")
 
-async def compute_embeddings(message: str):
+async def get_embedding(message: str):
     try:
         classifier, vectorizer = load_model()