Update embeddings.py

embeddings.py

@@ -1,7 +1,9 @@
-from sentence_transformers import SentenceTransformer
+from sklearn.feature_extraction.text import TfidfVectorizer
 
-model = SentenceTransformer("all-MiniLM-L6-v2")
+vectorizer = TfidfVectorizer(max_features=512)
 
 def embed(text):
 
-    return model.encode(text).tolist()
+    vec = vectorizer.fit_transform([text])
+
+    return vec.toarray()[0].tolist()