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README.md

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 # Azza - Grounded Q/A Conversational Agent 🤖
 > We applied BERT to the Stanford Question Answering Dataset (SQuAD) to achieve *natural and grounded* human-level performance on question answering.
 
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 <img width="734"  alt="Screenshot 2023-03-27 at 10 45 57" src="https://user-images.githubusercontent.com/65676392/227976366-b4560691-28ed-4556-9068-e2d6d4bd8bb9.png">
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 # Pipeline
 1. Key-phrase extraction from the user's question [1].
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 # References
-[1] https://huggingface.co/ml6team/keyphrase-extraction-kbir-inspec
-[2] https://arxiv.org/pdf/1810.04805v2.pdf
-[3] https://rajpurkar.github.io/SQuAD-explorer/
+[1] https://huggingface.co/ml6team/keyphrase-extraction-kbir-inspec <br>
+[2] https://arxiv.org/pdf/1810.04805v2.pdf <br>
+[3] https://rajpurkar.github.io/SQuAD-explorer/ <br>