Update app.py

app.py

@@ -39,20 +39,15 @@ with st.expander('BigSalmon/FormalRobertaa'):
         st.text_area(label = 'Infill:', value=words)
  
 with st.expander('roberta-large'):
-  with st.form(key='my_form'):
-    prompt = st.text_area(label='Enter Text. Put <mask> where you want the model to fill in the blank. You can use more than one at a time.')
-    submit_button = st.form_submit_button(label='Submit')
-    if submit_button:
-      a_list = []
-      token_ids = tokenizer.encode(prompt, return_tensors='pt')
-      token_ids_tk = tokenizer.tokenize(prompt, return_tensors='pt')
-      masked_position = (token_ids.squeeze() == tokenizer.mask_token_id).nonzero()
-      masked_pos = [mask.item() for mask in masked_position ]
-      with torch.no_grad():
-        output = model2(token_ids)
-      last_hidden_state = output[0].squeeze()
-      for mask_index in masked_pos:
-        mask_hidden_state = last_hidden_state[mask_index]
-        idx = torch.topk(mask_hidden_state, k=100, dim=0)[1]
-        words = [tokenizer.decode(i.item()).strip() for i in idx]
-        st.text_area(label = 'Infill:', value=words)
+  token_ids = tokenizer.encode(prompt, return_tensors='pt')
+  token_ids_tk = tokenizer.tokenize(prompt, return_tensors='pt')
+  masked_position = (token_ids.squeeze() == tokenizer.mask_token_id).nonzero()
+  masked_pos = [mask.item() for mask in masked_position ]
+  with torch.no_grad():
+    output = model2(token_ids)
+    last_hidden_state = output[0].squeeze()
+    for mask_index in masked_pos:
+      mask_hidden_state = last_hidden_state[mask_index]
+      idx = torch.topk(mask_hidden_state, k=100, dim=0)[1]
+      words = [tokenizer.decode(i.item()).strip() for i in idx]
+      st.text_area(label = 'Infill:', value=words)