deep-learning-analytics commited on
Commit
22f0471
1 Parent(s): e5b54f1

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -1,7 +1,7 @@
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  import streamlit as st
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  default_value = "Mike and Anna is skiing"
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- sent = st.text_area("Text", default_value, height = 275)
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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
@@ -25,6 +25,6 @@ generated_sequences = []
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  for generated_sequence_idx, generated_sequence in enumerate(results):
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  # Decode text
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  text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True)
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- generated_sequences.append(generated_sequence)
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  st.write(generated_sequences)
 
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  import streamlit as st
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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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  for generated_sequence_idx, generated_sequence in enumerate(results):
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  # Decode text
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  text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True)
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+ generated_sequences.append(text)
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  st.write(generated_sequences)