message

main.py

@@ -2,9 +2,9 @@
 from fastapi import FastAPI, HTTPException
 from pydantic import BaseModel
 import numpy as np
-from linear.services.sms_service import classify_sms, load_trained_model
-from linear.schemas.input_schemas import CosineSimilarityInput, CosineSimilarityOutput
-from linear.schemas.input_schemas import EmbeddingInput, EmbeddingOutput
+from services.sms_service import classify_sms, load_trained_model
+from schemas.input_schemas import CosineSimilarityInput, CosineSimilarityOutput
+from schemas.input_schemas import EmbeddingInput, EmbeddingOutput
 
 # Initialize FastAPI
 app = FastAPI()

services/sms_service.py

@@ -3,8 +3,8 @@ import pickle
 import numpy as np
 from sklearn.feature_extraction.text import TfidfVectorizer
 from fastapi import HTTPException
-from linear.schemas.input_schemas import CosineSimilarityResponse
-from linear.schemas.input_schemas import EmbeddingResponse
+from schemas.input_schemas import CosineSimilarityResponse
+from schemas.input_schemas import EmbeddingResponse
 
 # Load the trained model and vectorizer
 def load_model():