NursNurs commited on
Commit
93a8ff8
·
1 Parent(s): a4c4d1b

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -78,10 +78,10 @@ def return_top_k(sentence, k=10, word=None, rels=False):
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  predictions = [tokenizer.decode(tokens, skip_special_tokens=True) for tokens in output_sequences['sequences']]
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  probabilities = [round(float(prob), 2) for prob in decoded_probabilities]
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- stripped_sent = [remove_punctuation(word.lower()) for word in sentence.split()]
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- for pred in predictions:
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- if (len(pred) < 2) | (pred in stripped_sent):
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- predictions.pop(predictions.index(pred))
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  return predictions[:10]
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@@ -303,8 +303,8 @@ if st.session_state.actions[-1] == 'cue':
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  word_count = st.session_state.counters["word_count"]
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  target = st.session_state.results["results"][word_count]
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- col1, col2, col3, col4, col11, col12, col13 = st.columns(7)
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- col5, col6, col7, col8, col9, col10 = st.columns(6)
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  with col1:
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  b1 = st.button("Next letter", key="1")
 
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  predictions = [tokenizer.decode(tokens, skip_special_tokens=True) for tokens in output_sequences['sequences']]
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  probabilities = [round(float(prob), 2) for prob in decoded_probabilities]
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+ # stripped_sent = [remove_punctuation(word.lower()) for word in sentence.split()]
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+ # for pred in predictions:
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+ # if (len(pred) < 2) | (pred in stripped_sent):
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+ # predictions.pop(predictions.index(pred))
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  return predictions[:10]
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  word_count = st.session_state.counters["word_count"]
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  target = st.session_state.results["results"][word_count]
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+ col1, col2, col3, col4, col11, col12 = st.columns(6)
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+ col5, col6, col7, col8, col9 = st.columns(5)
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  with col1:
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  b1 = st.button("Next letter", key="1")