feat(remove model)

app/config.py

@@ -1,7 +1,7 @@
 import os
 
 # Embedding model
-EMBEDDING_MODEL = "./embedding_model"  # path to local folder
+EMBEDDING_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
 
 # Vector DB storage
 CHROMA_DB_DIR = "/tmp/chroma_db"

download_model.py

@@ -1,11 +0,0 @@
-from sentence_transformers import SentenceTransformer
-
-# Choose the model
-model_name = "sentence-transformers/all-MiniLM-L6-v2"
-
-# Load the model (this will download it)
-model = SentenceTransformer(model_name)
-
-# Save it locally
-model.save("./embedding_model")
-print("Model saved to ./embedding_model")