Add application file

app.py

@@ -136,14 +136,22 @@ demo = gr.Interface(fn=classify_output, inputs=txtbx, outputs=txtbxopt,
                     title = 'EEMM Item Classification Machine V 0.5',
                     description = """
                     
-                    ¡Hello! This use two machine learning models to classify items and phrases into the EEMM grid. It will output a classification for dimensions as Cognition, Self, Affect, Motivation, Attention, Overt Behavior or Context. It Will also output levels as Social, Psychological or Physical. 
-
-                    This is a proof of concept, so the model will not be perfect right away and may make some mistakes. **You can help us improve the models by flagging wrong answers**. Using the buttons below the output you can tell us the output lacks a category, or if levels and/or dimensions are wrong. When flagging, your item/phrase will be saved with your answer. We only save flagged items.
-
-                    **Please note that the machine goes idle after a period of inactivity.** If this occurs, waking it up may take around 20 seconds. Be patient ;)""",
+                    ¡Hello! This app showcases two machine learning models to classify items and phrases into the EEMM grid. 
+                    It will output a classification for dimensions as *Cognition, Self, Affect, Motivation, Attention, Overt Behavior or Context*. I
+                    t Will also output levels as *Social, Psychological or Physical*. 
+                    You will also see the probability assigned by the model in parentheses (e.g: Affect (0.92)) 
+
+                    This is a proof of concept, so the model will not be perfect right away and may make some mistakes. 
+                    **You can help us improve the models by flagging wrong answers**. 
+                    Using the buttons below the output you can tell us the output lacks a category, 
+                    if levels and/or dimensions are wrong, or if you want to tell us that the model did well. When flagging, your item/phrase will be saved with your answer. 
+                    Only flagged items will be saved for model improvement.
+
+                    **Please note that the machine goes idle after a period of inactivity.** 
+                    If this occurs, waking it up may take around 20 seconds. Be patient ;)""",
                     article = article_text,
                     allow_flagging = 'manual',
-                    flagging_options = ['Wrong dimension/level','Lacks dimension/level', 'Wrong and lacking :('],
+                    flagging_options = ['wrong dimension/level','lacks dimension/level', 'wrong and lacking :(', 'spot on! :)'],
                     flagging_callback= hf_writer
 )
 demo.launch()