Delete src/embeddings.py

src/embeddings.py

@@ -1,28 +0,0 @@
-import os
-import shutil
-from sentence_transformers import SentenceTransformer
-
-print("✅ embeddings.py loaded from:", __file__)
-
-# Always use a writable cache directory
-CACHE_DIR = "/tmp/huggingface"
-MODEL_NAME = "sentence-transformers/all-MiniLM-L6-v2"
-MODEL_PATH = os.path.join(CACHE_DIR, MODEL_NAME)
-
-os.environ["HF_HOME"] = CACHE_DIR
-os.environ["TRANSFORMERS_CACHE"] = CACHE_DIR
-os.environ["HF_DATASETS_CACHE"] = CACHE_DIR
-
-# If model not already cached → download once into /tmp
-if not os.path.exists(MODEL_PATH):
-    print(f"⬇️ Downloading model {MODEL_NAME} to {MODEL_PATH}")
-    _model = SentenceTransformer(MODEL_NAME, cache_folder=CACHE_DIR)
-    # Force save a copy into MODEL_PATH
-    _model.save(MODEL_PATH)
-else:
-    print(f"✅ Loading model from local path {MODEL_PATH}")
-    _model = SentenceTransformer(MODEL_PATH)
-
-def generate_embeddings(chunks: list) -> list:
-    embeddings = _model.encode(chunks, convert_to_numpy=True)
-    return embeddings.tolist()