Update app.py

app.py

@@ -8,11 +8,12 @@ st.write("This tool lets you extract relation triples concerning interactions be
 st.write("It is the result of an end of studies project within ESI school and dedicated to biomedical researchers looking to extract precise information about the subject without digging into long publications.")
 
 form = st.form(key='my-form')
-x = form.text_input('Enter your text')
+x = form.text_area('Enter text', height=275)
 submit = form.form_submit_button('Submit')
 
 if submit and len(x) != 0:  
   #model.to("cpu")
+  st.text("Execution is in progress ...")
   tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-large-cased-v1.1", truncation = True, padding=True, model_max_length=512,)
   model_checkpoint = BertForTokenClassification.from_pretrained("dexay/Ner2HgF", )
   
@@ -20,7 +21,7 @@ if submit and len(x) != 0:
   model_re = AutoModelForSequenceClassification.from_pretrained("dexay/reDs3others", )
   token_classifier = pipeline("token-classification", tokenizer = tokenizer,model=model_checkpoint,  )
   
-  st.text("Knowledge extraction is in progress ...")
+  
   
   if x[-1] not in ".?:":
     x += "."