deep-learning-analytics commited on
Commit
d6497a6
1 Parent(s): 8e8054c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -8,7 +8,6 @@ st.write("Input your text here!")
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  default_value = "Mike and Anna is skiing"
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  sent = st.text_area("Text", default_value, height = 50)
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  num_return_sequences = st.sidebar.number_input('Number of Return Sequences', min_value=1, max_value=3, value=1, step=1)
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- button_was_clicked = st.sidebar.button("SUBMIT")
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  ### Run Model
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  from transformers import T5ForConditionalGeneration, T5Tokenizer
@@ -24,7 +23,7 @@ def correct_grammar(input_text,num_return_sequences=num_return_sequences):
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  return results
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  ##Prompts
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- if button_was_clicked and sent:
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  results = correct_grammar(sent, num_return_sequences)
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  generated_sequences = []
 
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  default_value = "Mike and Anna is skiing"
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  sent = st.text_area("Text", default_value, height = 50)
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  num_return_sequences = st.sidebar.number_input('Number of Return Sequences', min_value=1, max_value=3, value=1, step=1)
 
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  ### Run Model
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  from transformers import T5ForConditionalGeneration, T5Tokenizer
 
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  return results
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  ##Prompts
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+ if sent:
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  results = correct_grammar(sent, num_return_sequences)
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  generated_sequences = []