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app.py

@@ -25,11 +25,15 @@ class ADA_DOGS(object):
     #
     self.article = '<div><h3>Citation:</h3><ul><li>'
     self.article += 'Author/Dev: Duc Haba, 2022.</li>'
-    self.article += '<li>https://linkedin.com/in/duchaba</li>'
+    self.article += '<li><a target="_blank" href="https://linkedin.com/in/duchaba">https://linkedin.com/in/duchaba</a></li>'
     self.article += '<li>The training dataset is from the Data Scientist at Department of Health '
     self.article += 'and Social Care London, England, United Kingdom.</li>'
     self.article += '<li>https://www.kaggle.com/datasets/amandam1/120-dog-breeds-breed-classification</li>'
     self.article += '</ul>'
+    self.article += '<h3>Articles:</h3><ul>'
+    self.article += '<li><a target="_blank" href="https://www.linkedin.com/pulse/120-dog-breeds-hugging-face-duc-haba/">"120 Dog Breeds on Hugging Face"</a> on LinkedIn, '
+    self.article += 'on <a target="_blank" href="https://duchaba.medium.com/120-dog-breeds-on-hugging-face-75288c7952d6">Medium.</a></li>'
+    self.article += '</ul>'  
     self.article += '<h3>Train Result:</h3><ul>'
     self.article += '<li>F1-Score, Precision, and Recall -- Take the output from method sklearn.metrics.classification_report(), import to Pandas Data Fame, sorted, and graph it.</li>'
     self.article += '<li><img src="file/ada_f1.png" alt="F1-Score, Precision, and Recall Graph" width="640"</li>'