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canvasapp
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Coding with Peter 2023-04-18 19:58:35 -07:00
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content.py
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@ -1058,6 +1058,8 @@ def search_embeddings():
# Sort the sentences by their cosine similarity to the query sentence # Sort the sentences by their cosine similarity to the query sentence
results = sorted(zip(sentences, cosine_scores, files), key=lambda x: x[1], reverse=True) results = sorted(zip(sentences, cosine_scores, files), key=lambda x: x[1], reverse=True)
print(results[:5])
# Print the top 5 results # Print the top 5 results
for i, (sentence, score, file) in enumerate(results[:5]): for i, (sentence, score, file) in enumerate(results[:5]):
print(f'Top {i+1}: {file} - {sentence} - (Score: {score})') print(f'Top {i+1}: {file} - {sentence} - (Score: {score})')