zmbfeng commited on
Commit
191adf7
1 Parent(s): 0caae26

fix some more display issue

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -237,11 +237,11 @@ def contradiction_detection_for_sentence(cd_query):
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  sorted_paragraph_scores = sorted(paragraph_scores, key=lambda x: x[0], reverse=True)
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- st.write("Top scored paragraphs and their scores:")
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  for i, (similarity_score, commonality_score, paragraph_from_sorted_paragraph_scores) in enumerate(
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  sorted_paragraph_scores[:3]): # number of paragraphs to consider
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  # st.write("top_three_sentences: ", paragraph['top_three_sentences'])
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- st.write("paragarph number ***", i)
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  prev_contradiction_detected = True
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  for top_sentence in paragraph_from_sorted_paragraph_scores['top_three_sentences']:
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@@ -337,12 +337,12 @@ if 'paragraph_sentence_encodings' in st.session_state:
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  line_list.append((line_number, decoded_line))
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  # Display the list of tuples
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- st.write("Line Number and Line Content:")
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  for item in line_list:
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- st.write(f"Line {item[0]}: {item[1]}")
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  sentences = sent_tokenize(item[1])
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  for sentence in sentences:
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- st.write(f"sententce {sentence}")
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  contradiction_detection_for_sentence(sentence)
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  # print(top_sentence[1])
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  # st.write(f"Similarity Score: {similarity_score}, Commonality Score: {commonality_score}")
 
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  sorted_paragraph_scores = sorted(paragraph_scores, key=lambda x: x[0], reverse=True)
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+ # st.write("Top scored paragraphs and their scores:")
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  for i, (similarity_score, commonality_score, paragraph_from_sorted_paragraph_scores) in enumerate(
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  sorted_paragraph_scores[:3]): # number of paragraphs to consider
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  # st.write("top_three_sentences: ", paragraph['top_three_sentences'])
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+ # st.write("paragarph number ***", i)
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  prev_contradiction_detected = True
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  for top_sentence in paragraph_from_sorted_paragraph_scores['top_three_sentences']:
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  line_list.append((line_number, decoded_line))
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  # Display the list of tuples
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+ # st.write("Line Number and Line Content:")
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  for item in line_list:
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+ # st.write(f"Line {item[0]}: {item[1]}")
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  sentences = sent_tokenize(item[1])
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  for sentence in sentences:
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+ # st.write(f"sententce {sentence}")
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  contradiction_detection_for_sentence(sentence)
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  # print(top_sentence[1])
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  # st.write(f"Similarity Score: {similarity_score}, Commonality Score: {commonality_score}")