Update app.py

app.py

@@ -14,7 +14,7 @@ class ADA_SKIN(object):
   # initialize the object
   def __init__(self, name="Wallaby",verbose=True,*args, **kwargs):
     super(ADA_SKIN, self).__init__(*args, **kwargs)
-    self.author = "Duc Haba"
+    self.author = "Jey"
     self.name = name
     if (verbose):
       self._ph()
@@ -23,27 +23,7 @@ class ADA_SKIN(object):
       self._pp("Author is", self.author)
       self._ph()
     #
-    self.article = '<div><h3>Warning:</h3>Do NOT use this for any medical diagnosis.<br>' 
-    self.article += 'I am not a dermatologist, and NO dermatologist has endorsed it. '
-    self.article += 'This DL model is for my independent research. <br>Please refer to the GPL 3.0 for usage and license.'
-    self.article += '<h3>Citation:</h3><ul><li>'
-    self.article += 'Author/Dev: Duc Haba, 2022.</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 are from the International Skin Imaging Collaboration (ISIC)</li>'
-    self.article += '<li>The Skin Cancer Identification are from 3 seperate datasets.</li>'
-    self.article += '<ol>'
-    self.article += '<li>https://www.kaggle.com/datasets/surajghuwalewala/ham1000-segmentation-and-classification</li>'
-    self.article += '<li>https://www.kaggle.com/datasets/andrewmvd/isic-2019</li>'
-    self.article += '<li>https://www.kaggle.com/datasets/jnegrini/skin-lesions-act-keratosis-and-melanoma</li>'        
-    self.article += '<ul><li>'
-    self.article += 'The Malignant versus Benign dataset</li>'
-    self.article += '<ol><li>https://www.kaggle.com/datasets/fanconic/skin-cancer-malignant-vs-benign</li>'
-    self.article += '</ol></ul>'
-    self.article += '<h3>Articles:</h3><ul>'
-    self.article += '<li><a target="_blank" href="https://www.linkedin.com/pulse/skin-cancer-diagnose-using-deep-learning-duc-haba/">'
-    self.article += '"Skin Cancer Diagnose"</a> on LinkedIn, on <a target="_blank" href='
-    self.article += '"https://www.linkedin.com/pulse/skin-cancer-diagnose-using-deep-learning-duc-haba/">Medium.</a></li>'
-    self.article += '</ul>'  
+  
     self.article += '<h3>Example Images: (left to right)</h3><ol>'
     self.article += '<li>Bowen Disease (AKIEC)</li>'
     self.article += '<li>Basal Cell Carcinoma</li>'
@@ -56,18 +36,6 @@ class ADA_SKIN(object):
     self.article += '<li>Benign</li>' 
     self.article += '<li>Benign 2</li></ol>'         
     self.article += '<h3>Train Result:</h3><ul>'
-    self.article += '<li>Skin Cancer Classificaiton: F1-Score, Precision, and Recall Graph</li>'
-    self.article += '<li><img src="file/ada_f1_skin.png" alt="F1-Score, Precision, and Recall Graph" width="640"</li>'
-    self.article += '<li>Skin Cancer Malignant or Benign: F1-Score, Precision, and Recall Graph</li>'
-    self.article += '<li><img src="file/ada_f1_skin_be.png" alt="F1-Score, Precision, and Recall Graph" width="640"</li>'    
-    self.article += '</ul>'
-    self.article += '<h3>Dev Stack:</h3><ul>'
-    self.article += '<li>Jupyter Notebook, Python, Pandas, Matplotlib, Sklearn</li>'
-    self.article += '<li>Fast.ai, PyTorch</li>'
-    self.article += '</ul>'
-    self.article += '<h3>Licenses:</h3><ul>'
-    self.article += '<li><a target="_blank" href="https://www.gnu.org/licenses/gpl-3.0.txt">GNU GPL 3.0</a></li>'        
-    self.article += '</ul></div>'
     self.examples = ['akiec1.jpg','bcc1.jpg','bkl1.jpg','df1.jpg','mel1.jpg',
       'nevi1.jpg','scc1.jpg','vl1.jpg','benign1.jpg','benign3.jpg']
     self.title = "Skin Cancer Diagnose"