Add application file

app.py

@@ -104,7 +104,7 @@ print(len(combined_list))
 
 embeddings1 = model.encode(combined_list)
 
-def semantic_search(query, embeddings1, combined_list):
+def semantic_search(query):
     query_embedding = model.encode(query)
 
     document_embeddings = embeddings1
@@ -118,7 +118,7 @@ def semantic_search(query, embeddings1, combined_list):
     print("Most similar document", most_similar_doc)
     return ls1
 
-output = semantic_search("لذهب بعشرة آلاف دولار؟",embeddings1, combined_list)
+output = semantic_search("لذهب بعشرة آلاف دولار؟")
 
 ranked = sorted(output, key=lambda x: x[1])
 ranked[:3]