Update text_splitter.py

text_splitter.py

@@ -31,6 +31,10 @@ def activate_similarities(similarities:np.array, p_size=10)->np.array:
     return activated_similarities
 
 def split_into_paragraphs(text):
+    model = SentenceTransformer('all-mpnet-base-v2')
+    sentences = text.split('. ')
+    embeddings = model.encode(sentences)
+    similarities = cosine_similarity(embeddings)   
     activated_similarities = activate_similarities(similarities, p_size=5)
     minmimas = argrelextrema(activated_similarities, np.less, order=2)
     split_points = [each for each in minmimas[0]]