Update app.py

app.py

@@ -28,6 +28,36 @@ from sklearn.metrics import confusion_matrix
 from sklearn.feature_selection import SequentialFeatureSelector
 from sklearn.model_selection import GridSearchCV, StratifiedKFold
 
+from docx.enum.dml import MSO_THEME_COLOR_INDEX
+def add_hyperlink(paragraph, text, url):
+    # This gets access to the document.xml.rels file and gets a new relation id value
+    part = paragraph.part
+    r_id = part.relate_to(url, docx.opc.constants.RELATIONSHIP_TYPE.HYPERLINK, is_external=True)
+
+    # Create the w:hyperlink tag and add needed values
+    hyperlink = docx.oxml.shared.OxmlElement('w:hyperlink')
+    hyperlink.set(docx.oxml.shared.qn('r:id'), r_id, )
+
+    # Create a w:r element and a new w:rPr element
+    new_run = docx.oxml.shared.OxmlElement('w:r')
+    rPr = docx.oxml.shared.OxmlElement('w:rPr')
+
+    # Join all the xml elements together add add the required text to the w:r element
+    new_run.append(rPr)
+    new_run.text = text
+    hyperlink.append(new_run)
+
+    # Create a new Run object and add the hyperlink into it
+    r = paragraph.add_run ()
+    r._r.append (hyperlink)
+
+    # A workaround for the lack of a hyperlink style (doesn't go purple after using the link)
+    # Delete this if using a template that has the hyperlink style in it
+    r.font.color.theme_color = MSO_THEME_COLOR_INDEX.HYPERLINK
+    r.font.underline = True
+
+    return hyperlink
+    
 from sklearn.metrics import accuracy_score, confusion_matrix, roc_auc_score, roc_curve, cohen_kappa_score, f1_score, recall_score, precision_score
 def measures(predicted, y_test):
     accuracy = accuracy_score(y_test, predicted)
@@ -179,6 +209,8 @@ def greet(operation,filer):
       filename = str(number)+"="+type(model).__name__+'='+str(acc)+'.sav'
       document.add_paragraph(type(model).__name__+' has been chosen as the prediction model for achieving an accuracy of '+str(acc)+'%')
       pickle.dump(model, open(filename, 'wb'))
+      p = document.add_paragraph('For more like this contact me at contact@mustafasa.com ')
+      add_hyperlink(p, 'contact@mustafasa.com', "contact@mustafasa.com")
       document.save('retraining_report.docx')
       return 'retraining_report.docx',str(type(model).__name__+' has been chosen as the prediction model for achieving an accuracy of '+str(acc)+'%')
     majors = ['CIS', 'CS', 'CYS', 'AI']