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Thomas Dehaene
commited on
Commit
·
af1842e
1
Parent(s):
e948df6
Bump steamlit
Browse files
app.py
CHANGED
@@ -5,30 +5,30 @@ import nlpaug.augmenter.char as nac
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import subprocess
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import sys
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import logging
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def install():
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subprocess.check_call([sys.executable, "-m", "pip", "install", "streamlit==0.89.0"])
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install()
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-
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-
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logging.warning(st.__version__)
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-
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-
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-
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To use this:
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- Enter a text with OCR mistakes and hit 'unscramble':point_down:
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- Or enter a normal text, scramble it :twisted_rightwards_arrows: and then hit 'unscramble' :point_down:""")
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@
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suppress_st_warning=True,
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show_spinner=False)
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def load_model():
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with
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ocr_pipeline=pipeline(
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'text2text-generation',
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model='ml6team/byt5-base-dutch-ocr-correction',
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@@ -39,10 +39,10 @@ def load_model():
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ocr_pipeline = load_model()
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if 'text' not in
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left_area, right_area =
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# Format the left area
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left_area.header("Input")
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@@ -58,16 +58,16 @@ right_area.header("Output")
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if scramble_button:
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aug = nac.OcrAug()
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base_text =
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augmented_data = aug.augment(base_text)
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del
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placeholder.empty()
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input_text = placeholder.text_area(value=
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if submit_button:
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base_text =
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output_text = " ".join([x['generated_text'] for x in ocr_pipeline(wrap(base_text, 128))])
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right_area.markdown('#####')
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right_area.text_area(value=output_text, label="Corrected text:")
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import subprocess
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import sys
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import logging
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import importlib
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def install():
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subprocess.check_call([sys.executable, "-m", "pip", "install", "streamlit==0.89.0"])
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install()
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importlib.reload(streamlit)
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logging.warning(st.__version__)
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streamlit.markdown('# ByT5 Dutch OCR Corrector :pill:')
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streamlit.write('This app corrects common dutch OCR mistakes, to showcase how this could be used in an OCR post-processing pipeline.')
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streamlit.markdown("""
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To use this:
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- Enter a text with OCR mistakes and hit 'unscramble':point_down:
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- Or enter a normal text, scramble it :twisted_rightwards_arrows: and then hit 'unscramble' :point_down:""")
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@streamlit.cache(allow_output_mutation=True,
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suppress_st_warning=True,
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show_spinner=False)
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def load_model():
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with streamlit.spinner('Please wait for the model to load...'):
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ocr_pipeline=pipeline(
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'text2text-generation',
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model='ml6team/byt5-base-dutch-ocr-correction',
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ocr_pipeline = load_model()
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if 'text' not in streamlit.session_state:
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streamlit.session_state.text = ""
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left_area, right_area = streamlit.beta_columns(2)
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# Format the left area
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left_area.header("Input")
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if scramble_button:
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aug = nac.OcrAug()
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streamlit.session_state.text = streamlit.session_state.input_text
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base_text = streamlit.session_state.text
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augmented_data = aug.augment(base_text)
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streamlit.session_state.text = augmented_data
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del streamlit.session_state.input_text
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placeholder.empty()
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input_text = placeholder.text_area(value=streamlit.session_state.text, label='Insert text:', key='input_text')
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if submit_button:
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base_text = streamlit.session_state.input_text
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output_text = " ".join([x['generated_text'] for x in ocr_pipeline(wrap(base_text, 128))])
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right_area.markdown('#####')
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right_area.text_area(value=output_text, label="Corrected text:")
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