Update app.py

app.py

@@ -15,27 +15,11 @@ def main_model(input_image):
     return result
 
 
-interface_title = "<br> <p style='margin: 0% 8% 0% 8%'>HTML Code Generation from Images with Deep Neural Networks</p>"
-interface_description = """<p style='margin: 0% 8% 2% 8%; text-align: justify;text-justify: inter-word;'> Writing 
-code in a programming language for a designed mockup or a graphical user interface created by designers and UI 
-engineers, is done mostly by developers to build and develop custom websites and software. The development work is 
-not approachable by those unfamiliar with programming, to drive these personas capable of designing and developing 
-the code bases and website structures we come up with an automated system. In this work, we showed and proposed that 
-methods of deep learning and computer vision can be grasped to train a model that will automatically generate HTML 
-code from a single input mockup image and try to build an end-to-end automated system with accuracy more than 
-previous works for developing the structures of web pages.</p> """
-
-interface_article = """<br><h2 style='text-align: center;'>Limitations of Model</h2> <p style='text-align: 
-center;'>Certain limitations are there in the model some of them are listed below</p> <ul><li>Sometimes the model do 
-produce all the buttons with the same green color instead of other colors</li><li>As the model has fed with the data 
-provided, and so while producing the code on some other types of images might not generate the code we 
-wanted</li><li>The model is only trained upon the learning and recognition of boxes and buttons etc. in the images 
-and it do not write the text written exactly on the images</li></ul> 
-<div style='text-align: center;'> <br><br><a 
-href='https://twitter.com/taneemishere' target='_blank'>Developed by Taneem Jan</a> </div> <div style='text-align: 
-center;'> <a href='https://taneemishere.github.io/projects/project-one.html' target='_blank'>Paper</a> &ensp; &emsp; 
-<a href='https://github.com/taneemishere/html-code-generation-from-images-with-deep-neural-networks' 
-target='_blank'>Code</a> </div> """
+interface_title = "<br> <p style='margin: 0% 8% 0% 8%'>Front end Code Generation with Deep Neural Networks</p>"
+interface_description = """<p style='margin: 0% 8% 2% 8%; text-align: justify;text-justify: inter-word;'> Input sketch image and select the framework
+and click on submit to generate</p> """
+
+interface_article = """<br><h2 style='text-align: center;'>Creafted with care from Jude</h2> """
 
 interface_examples = ['examples/example-1.png', 'examples/example-2.png', 'examples/example-3.png']