Delete embedding.py

embedding.py

@@ -1,20 +0,0 @@
-# embedding.py
-import os
-import numpy as np
-import pandas as pd
-import faiss
-from sentence_transformers import SentenceTransformer
-
-# --- Load data ---
-def load_data():
-    data_path = os.path.join(os.path.dirname(__file__), 'train_data.csv')
-    df = pd.read_csv(data_path)
-    return df['question'].tolist(), df['answer'].tolist()
-
-# --- Embedding model and FAISS index ---
-def setup_embeddings(answers):
-    embedder = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2')
-    answer_embeddings = embedder.encode(answers, show_progress_bar=True)
-    index = faiss.IndexFlatL2(answer_embeddings.shape[1])
-    index.add(np.array(answer_embeddings))
-    return embedder, index