Updating the content of the article and description

app.py

@@ -38,11 +38,22 @@ platform = gr.Interface( fn = predict_image,
                         title ="TB CADx",
                         inputs = "image", 
                         outputs = "label",
-                        description="""This is a computer aided detection tool that helps 
-                        clinicians quickly classify chest X-ray images into either normal, 
-                        unhealthy but no TB or High chance of TB""",
-                        article = """This tool is for research and by all means not meant to replace 
-                        the WHO recommended guidelines on diagnosing TB""" )
+                        description="""
+                        Introducing a revolutionary computer-aided detection tool designed to enhance the efficiency of clinicians in the classification of chest X-ray images. 
+                        This innovative system facilitates the swift classification of images into three key categories: normal, indicating no abnormalities; 
+                        unhealthy but not indicative of Tuberculosis (TB); and those with a high likelihood of TB presence. 
+                        By streamlining the classification process, this tool aims to expedite diagnostic assessments and aid clinicians in making informed decisions regarding patient care. 
+                        """,
+                        article = """ 
+                        It is crucial to emphasize that while this tool serves as a valuable research aid, 
+                        it is not intended to replace clinical guidelines, 
+                        nor should it substitute for the wealth of clinical knowledge 
+                        and experience possessed by healthcare professionals. 
+                        The algorithm is meant to complement and support the diagnostic process, 
+                        providing an additional layer of analysis for consideration in conjunction with the clinician's expertise. 
+                        Users are encouraged to interpret the algorithm's output in conjunction with their clinical judgment, 
+                        and the tool should be viewed as a supplementary resource rather than a standalone diagnostic solution.
+                        """ )
 
 
 platform.launch(inline=True, share=True)