Add application file

app.py

@@ -121,14 +121,8 @@ def classify_output(item):
     ######## RUN GRADIO APP #################
     #########################################
 
-txtbx = gr.Textbox(value = 'I would like to feel better', label = 'Please enter your item:', container = 'True')
-txtbxopt = gr.Textbox(label = 'The item you provided was classified as:', container = 'True')
-hf_writer = gr.HuggingFaceDatasetSaver(api_key, 'flagging_EEMM_V05')
-demo = gr.Interface(fn=classify_output, inputs=txtbx, outputs=txtbxopt,
-                    theme = gr.themes.Soft(primary_hue='orange'),
-                    title = 'EEMM Item Classification Machine V 0.5',
-                    description = 'This machine is a fine tuned version of DistillBERT. It classifies items in 7 EEMM dimensions following (ref). **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 = gr.Markdown("""
+
+article_text = """
 ## Affect/Emotion
 This category is concerned with how people feel or respond to emotions. It includes bodily sensations. Inner Experience described as pleasant or unpleasant. Sentences with words relating to emotions, feelings, affect, or mood. Sentences about avoiding, suppressing, getting rid of, or controlling emotions. Phrases that indicate an intense emotional response belong here: e.g., I can't stand it, it is unbearable, it is intolerable.
 
@@ -140,7 +134,16 @@ Sentences that discuss what people are focusing on or paying attention to, inclu
 
 ## Motivation
 Statements focusing on what drives actions or behaviors. Includes stating what one values, expressing the desire to achieve particular goals, or giving reasons for acting, such as compliance or values. Also about wishing or hoping for something, which implies value. Phrases about "not caring for *something*" relates to motivation. Sentences about wanting to give up or escape may also imply motivation, e.g., escaping an aversive or an absence of motivation.
-"""),
+"""
+
+txtbx = gr.Textbox(value = 'I would like to feel better', label = 'Please enter your item:', container = 'True')
+txtbxopt = gr.Textbox(label = 'The item you provided was classified as:', container = 'True')
+hf_writer = gr.HuggingFaceDatasetSaver(api_key, 'flagging_EEMM_V05')
+demo = gr.Interface(fn=classify_output, inputs=txtbx, outputs=txtbxopt,
+                    theme = gr.themes.Soft(primary_hue='orange'),
+                    title = 'EEMM Item Classification Machine V 0.5',
+                    description = 'This machine is a fine tuned version of DistillBERT. It classifies items in 7 EEMM dimensions following (ref). **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 category','Lacks a category'],
                     flagging_callback= hf_writer