Fix HF cache permission and correct model path

app/api/v1/metrics.py

@@ -5,9 +5,16 @@ from sklearn.metrics import accuracy_score
 from nltk.translate.bleu_score import sentence_bleu
 from sentence_transformers import SentenceTransformer, util
 from app.auth.auth import verify_token
+import os
+os.environ["HF_HOME"] = "/tmp/hf_cache"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/hf_cache"
+os.environ["HF_HUB_CACHE"] = "/tmp/hf_cache"
+
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("sentence-transformers/clip-ViT-B-32")
 
 router = APIRouter()
-model = SentenceTransformer("clip-ViT-B-32")  # for CLIP-like semantic score
 
 @router.post("/evaluate/bleu", dependencies=[Depends(verify_token)])
 def compute_bleu(reference: str, candidate: str):