changed

main.py

@@ -2,6 +2,7 @@ from fastapi import FastAPI, HTTPException
 from pydantic import BaseModel
 from sentence_transformers import SentenceTransformer
 import numpy as np
+from huggingface_hub import hf_hub_download
 from huggingface_hub import HfApi, HfFolder, Repository, hf_hub_url, cached_download
 
 # Initialize the FastAPI app
@@ -9,7 +10,7 @@ app = FastAPI()
 
 # Load the pre-trained SentenceTransformer model from Hugging Face
 #model = SentenceTransformer("//huggingface.co/spaces/Kabila22/Kabilan_embedding_1", trust_remote_code=True)
-model = SentenceTransformer("Alibaba-NLP/gte-base-en-v1.5", trust_remote_code=True)
+model = hf_hub_download("Alibaba-NLP/gte-base-en-v1.5", trust_remote_code=True)
 
 # Define the request body schema
 class TextInput(BaseModel):