Upload create_embeddings.py

create_embeddings.py

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+from calc_cosine_similarity import find_cosine_similarity, find_embedding , find_relevant_file_paths
+import os
+import pickle
+
+embeddings_titles = []
+if not os.path.exists('embeddings.pkl'):
+    #Find embeddings of titles from titles.txt
+    titles = []
+    #if embedding_titles.pkl is absent
+    with open('titles.txt', 'r') as file:
+        lines = file.readlines()
+    
+    titles = [line.strip() for line in lines]
+    print("Created a list of titles")
+        
+    embeddings_titles = find_embedding(titles)
+    #Save embeddings_titles to embedding_titles.pkl
+    data = {
+            'sentences': titles,
+            'embeddings': embeddings_titles
+    }
+    with open('embeddings.pkl', 'wb') as f:
+        pickle.dump(data, f)