Update app.py
Browse files
app.py
CHANGED
@@ -42,6 +42,79 @@ def process_nlp(system_message):
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colorized_text = colorize_text(system_message['content'])
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return colorized_text
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def colorize_text(text):
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colorized_text = ""
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lines = text.split("\n")
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colorized_text = colorize_text(system_message['content'])
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return colorized_text
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# Define color combinations for different parts of speech
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COLORS = {
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"NOUN": "#FF3300",
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"VERB": "#FFFF00",
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"ADJ": "#00CC00",
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"ADV": "#FF6600",
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"digit": "#9900CC",
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"punct": "#8B4513",
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"quote": "#008080",
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}
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# Define color combinations for individuals with dyslexia
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DYSLEXIA_COLORS = {
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"NOUN": "#1E90FF",
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"VERB": "#FFFF00",
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"ADJ": "#00CED1",
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"ADV": "#FF8C00",
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"digit": "#800080",
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"punct": "#A0522D",
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"quote": "#ADFF2F",
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}
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# Define a dark background color
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DARK_BG = "#212121"
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def colorize_text(text, colors=None):
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if colors is None:
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colors = COLORS
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colorized_text = ""
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lines = text.split("\n")
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for line in lines:
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doc = nlp(line)
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for token in doc:
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if token.ent_type_:
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colorized_text += f"**{token.text_with_ws}**"
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else:
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color = colors.get(token.pos_, None)
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if color is not None:
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colorized_text += (
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f'<span style="color: {color}; '
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f'background-color: transparent;">'
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f"{token.text_with_ws}</span>"
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)
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elif token.is_digit:
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colorized_text += (
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f'<span style="color: {colors["digit"]}; '
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f'background-color: transparent;">'
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f"{token.text_with_ws}</span>"
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)
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elif token.is_punct:
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colorized_text += (
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f'<span style="color: {colors["punct"]}; '
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f'background-color: transparent;">'
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f"{token.text_with_ws}</span>"
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)
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elif token.is_quote:
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colorized_text += (
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f'<span style="color: {colors["quote"]}; '
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f'background-color: transparent;">'
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f"{token.text_with_ws}</span>"
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)
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else:
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colorized_text += token.text_with_ws
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colorized_text += "<br>"
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return colorized_text
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def colorize_text(text):
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colorized_text = ""
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lines = text.split("\n")
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