Paula Leonova
commited on
Commit
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eb0efc1
1
Parent(s):
9bdc126
Fix Typo
Browse files
app.py
CHANGED
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@@ -36,9 +36,19 @@ else:
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input_glabels = ''
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with st.form(key='my_form'):
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-
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gen_keywords = st.radio(
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"Generate keywords from text?",
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('Yes', 'No')
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@@ -81,7 +91,7 @@ if submit_button or example_button:
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if len(text_input) == 0:
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st.error("Enter some text to generate a summary")
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else:
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with st.spinner('Breaking up text into more reasonable chunks (
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# For each body of text, create text chunks of a certain token size required for the transformer
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nested_sentences = md.create_nest_sentences(document = text_input, token_max_length = 1024)
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# For each chunk of sentences (within the token max)
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input_glabels = ''
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with st.form(key='my_form'):
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text_input_method = st.radio(
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"Text Input Method",
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('Free form text', 'CSV')
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)
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if text_input_method == "Free form text":
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text_input = st.text_area("Input any text you want to summarize & classify here (keep in mind very long text will take a while to process):", display_text)
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else:
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uploaded_file = st.file_uploader("Choose a CSV file",
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help='Upload a CSV file with the following columns: ID, Text')
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gen_keywords = st.radio(
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"Generate keywords from text?",
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('Yes', 'No')
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if len(text_input) == 0:
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st.error("Enter some text to generate a summary")
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else:
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with st.spinner('Breaking up text into more reasonable chunks (transformers cannot exceed a 1024 token max)...'):
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# For each body of text, create text chunks of a certain token size required for the transformer
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nested_sentences = md.create_nest_sentences(document = text_input, token_max_length = 1024)
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# For each chunk of sentences (within the token max)
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