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| from io import StringIO | |
| import itertools | |
| import gradio as gr | |
| import pandas as pd | |
| import spacy | |
| nlp = spacy.load('en_core_web_sm') | |
| HTML_RED = '<span style="background-color: rgba(255, 0, 0, 0.2)">{t}</span>' | |
| HTML_GRN = '<span style="background-color: rgba(0, 255, 0, 0.3)">{t}</span>' | |
| HTML_YLW = '<span style="background-color: rgba(255, 255, 0, 0.3)">{t}</span>' | |
| HTML_BLU = '<span style="background-color: rgba(0, 0, 255, 0.2)">{t}</span>' | |
| HTML_PLN = '<span>{t}</span>' | |
| TABLE_CSS = ''' | |
| th, td { | |
| padding: 4px; | |
| } | |
| table, th, td { | |
| border: 1px solid black; | |
| border-collapse: collapse; | |
| } | |
| ''' | |
| def colorize(file_obj): | |
| with open(file_obj.name, 'r') as f: | |
| raw = f.read() | |
| raw = raw[raw.find('example_id'):] | |
| data = pd.read_csv(StringIO(raw)) | |
| table_content = [] | |
| for row in data.iterrows(): | |
| id_ = row[1]['example_id'] | |
| gold, genA, genB = nlp.pipe(( | |
| row[1]['target summary'], | |
| row[1]['model summary A'], | |
| row[1]['model summary B'] | |
| )) | |
| tokens_gold = {token.lemma_.lower(): 0 for token in gold} | |
| for token in itertools.chain(genA, genB): | |
| if token.lemma_.lower() in tokens_gold: | |
| tokens_gold[token.lemma_.lower()] += 1 | |
| gold_text = ''.join([ | |
| ( | |
| HTML_PLN.format(t=token.text) | |
| if token.pos_ not in {'NOUN', 'PROPN', 'VERB'} | |
| else ( | |
| ( | |
| HTML_BLU if tokens_gold[token.lemma_.lower()] > 0 | |
| else HTML_YLW | |
| ).format(t=token.text) | |
| ) | |
| ) + token.whitespace_ | |
| for token in gold | |
| ]) | |
| table_content.append( | |
| [id_, gold_text] + | |
| [ | |
| ''.join( | |
| ( | |
| HTML_PLN.format(t=token.text) | |
| if token.pos_ not in {'NOUN', 'PROPN', 'VERB'} | |
| else ( | |
| HTML_GRN.format(t=token.text) | |
| if token.lemma_.lower() in tokens_gold | |
| else HTML_RED.format(t=token.text) | |
| ) | |
| ) + token.whitespace_ | |
| for token in gen | |
| ) | |
| for gen in (genA, genB) | |
| ] | |
| ) | |
| # return an HTML table using data in table_content | |
| return '\n'.join(( | |
| '<table>', | |
| "<tr>" | |
| "<td><b>id</b></td>", | |
| "<td><b>Gold</b></td>", | |
| "<td><b>Model A</b></td>", | |
| "<td><b>Model B</b></td>", | |
| "</tr>", | |
| '\n'.join( | |
| '<tr>\n' + | |
| '\n'.join('<td>{}</td>'.format(cell) for cell in row) + | |
| '\n</tr>' | |
| for row in table_content | |
| ), | |
| '</table>' | |
| )) | |
| def main(): | |
| with gr.Blocks(css=TABLE_CSS) as demo: | |
| gr.Markdown( | |
| "After uploading, click Run and switch to the Visualization tab." | |
| ) | |
| with gr.Tabs(): | |
| with gr.TabItem("Upload"): | |
| data = gr.File( | |
| label='upload csv with Annotations', type='file' | |
| ) | |
| run = gr.Button(label='Run') | |
| with gr.TabItem("Visualization"): | |
| gr.HTML( | |
| ''.join( | |
| ( | |
| "<b>Explanation of colors:</b>", | |
| "<br><ul>", | |
| "<li><b>", | |
| HTML_RED.format(t='Red'), | |
| "</b>: word is in generated, but not in gold.</li>", | |
| "<li><b>", | |
| HTML_GRN.format(t='Green'), | |
| "</b>: word is in generated summary and gold.</li>", | |
| "<li><b>", | |
| HTML_YLW.format(t='Yellow'), | |
| "</b>: word is in gold, but not in generated.</li>", | |
| "<li><b>", | |
| HTML_BLU.format(t='Blue'), | |
| "</b>: word is in gold and in generated.</li>", | |
| "</ul>", | |
| "<br>", | |
| "<b>Important</b>: Only nouns, verbs and proper ", | |
| "nouns are colored.</b>" | |
| ) | |
| ) | |
| ) | |
| viz = gr.HTML(label='Upload a csv file to start.') | |
| run.click(colorize, data, viz) | |
| demo.launch() | |
| if __name__ == '__main__': | |
| main() | |