Copied bm25_retriever script from local directory to general directory

general_working_directory/bm25_retriever.py

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+import numpy as np
+import rdflib
+from declarations import BM25
+
+g = rdflib.Graph()
+g.parse("fashionpedia-third-generation.owl", format="xml")
+
+# Extract triplets
+triplets = []
+cn = 0
+for subj, pred, obj in g:
+    triplets.append((str(subj), str(pred), str(obj)))
+
+print(len(triplets))
+# Index the data (convert triplets to text format)
+documents = ["\n".join(triplet) for triplet in triplets]
+
+bm25 = BM25()
+bm25.fit(documents)
+# Find the similar documents given  query
+query = "What are some clothes containing blue tshirt with long sleeves?"
+scores = bm25.transform(query, documents)
+print(documents[np.argmax(scores)])