Update app.py

app.py

@@ -16,23 +16,15 @@ def get_med7_ent(text):
         col_dict[label] = colour
 
     options = {'ents': med7.pipe_labels['ner'], 'colors':col_dict}
-
-#     text = 'A patient was prescribed Magnesium hydroxide 400mg/5ml suspension PO of total 30ml bid for the next 5 days.'
     doc = med7(text)
-
-#     spacy.displacy.render(doc, style='ent', jupyter=True, options=options)
-
-#     [(ent.text, ent.label_) for ent in doc.ents]
-    
     html = displacy.render(doc, style='ent',options=options)
-    print([(ent.text, ent.label_) for ent in doc.ents])
     return html
 
 exp=["A patient was prescribed Magnesium hydroxide 400mg/5ml suspension PO of total 30ml bid for the next 5 days."]
 
-desc="Med7 — an information extraction model for clinical natural language processing"
+desc="Med7 — An information extraction model for clinical natural language processing. More information about the model development can be found in recent pre-print: Med7: a transferable clinical natural language processing model for electronic health records."
 
-inp=gr.inputs.Textbox(lines=5, placeholder=None, default="", label="text to extract Med7 Entities")
+inp=gr.inputs.Textbox(lines=5, placeholder=None, default="", label="Text")
 out=gr.outputs.HTML(label=None)
 
 iface = gr.Interface(fn=get_med7_ent, inputs=inp, outputs=out,examples=exp,article=desc,title="Med7",theme="huggingface",layout='horizontal')