Update app.py
Browse files
app.py
CHANGED
@@ -44,9 +44,153 @@ def process_nlp(system_message):
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from colour import Color
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# define color combinations for different parts of speech
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COLORS = {
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"NOUN": "#
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"VERB": "#ff6936", # Orange
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"ADJ": "#4363d8", # Blue
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"ADV": "#228b22", # Green
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@@ -55,34 +199,28 @@ COLORS = {
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"quote": "#b300b3" # Magenta
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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": "#
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"VERB": "#ff6936",
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"ADJ": "#4363d8",
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"ADV": "#228b22",
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"digit": "#9a45d6",
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"punct": "#ffcc00",
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"quote": "#b300b3"
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}
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RED_GREEN_COLORS = {
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"NOUN": "#000000",
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"VERB": "#fe642e", # Lighter orange
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"ADJ": "#2e86c1", # Lighter blue
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"ADV": "#82e0aa", # Lighter green
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"digit": "#aa6c39", # Brown
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"punct": "#f0b27a", # Lighter yellow
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"quote": "#9932cc" # Darker magenta
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}
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# define a muted background color
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BACKGROUND_COLOR = "#
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# define font and size
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FONT = "
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FONT_SIZE = "
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-
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if colors is None:
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colors = COLORS
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colorized_text = ""
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@@ -110,20 +248,20 @@ def colorize_text(text, colors=DYSLEXIA_COLORS, background_color=None, font=FONT
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colorized_text += (
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f'<span style="color: {color}; '
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f'background-color: {background_color}; '
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f'font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</span>"
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)
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else:
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colorized_text += (
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f'<span style="font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</span>"
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)
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else:
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@@ -133,59 +271,56 @@ def colorize_text(text, colors=DYSLEXIA_COLORS, background_color=None, font=FONT
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colorized_text += (
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f'<span style="color: {color}; '
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f'background-color: {background_color}; '
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f'font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</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: {background_color}; '
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f'font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</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: {background_color}; '
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f'font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</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: {background_color}; '
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f'font-family: {
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f'font-size: {
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</span>"
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)
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else:
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# use larger font size for specific parts of speech, such as nouns and verbs
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font_size = FONT_SIZE
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if token.pos_ in ["NOUN", "VERB"]:
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font_size = "22px"
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colorized_text += (
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f'<span style="font-family: {
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f'font-size: {
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">'
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f"{token.text}</span>"
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)
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colorized_text += "<br>"
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return colorized_text
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from colour import Color
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# # define color combinations for different parts of speech
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# COLORS = {
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# "NOUN": "#000000", # Black
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# "VERB": "#ff6936", # Orange
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# "ADJ": "#4363d8", # Blue
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# "ADV": "#228b22", # Green
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# "digit": "#9a45d6", # Purple
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# "punct": "#ffcc00", # Yellow
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# "quote": "#b300b3" # Magenta
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# }
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# # define color combinations for individuals with dyslexia and color vision deficiencies
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# DYSLEXIA_COLORS = {
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# "NOUN": "#000000",
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# "VERB": "#ff6936",
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# "ADJ": "#4363d8",
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# "ADV": "#228b22",
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# "digit": "#9a45d6",
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# "punct": "#ffcc00",
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# "quote": "#b300b3",
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# }
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# RED_GREEN_COLORS = {
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# "NOUN": "#000000",
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# "VERB": "#fe642e", # Lighter orange
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# "ADJ": "#2e86c1", # Lighter blue
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# "ADV": "#82e0aa", # Lighter green
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# "digit": "#aa6c39", # Brown
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# "punct": "#f0b27a", # Lighter yellow
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# "quote": "#9932cc" # Darker magenta
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# }
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# # define a muted background color
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# BACKGROUND_COLOR = "#ffffff" # White
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# # define font and size
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# FONT = "OpenDyslexic"
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# FONT_SIZE = "18px"
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# def colorize_text(text, colors=DYSLEXIA_COLORS, background_color=None, font=FONT, font_size=FONT_SIZE):
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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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# # set background color
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# if background_color is None:
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# background_color = BACKGROUND_COLOR
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# # iterate over the lines in the text
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# for line in lines:
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# # parse the line with the language model
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# doc = nlp(line)
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# # iterate over the tokens in the line
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# for token in doc:
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# # check if the token is an entity
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# if token.ent_type_:
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# # use dyslexia colors for entity if available
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# if colors == COLORS:
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# color = DYSLEXIA_COLORS.get(token.pos_, None)
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# else:
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# color = colors.get(token.pos_, None)
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# # check if a color is available for the token
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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: {background_color}; '
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# f'font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</span>"
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# )
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# else:
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# colorized_text += (
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# f'<span style="font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</span>"
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# )
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# else:
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# # check if a color is available for the token
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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: {background_color}; '
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# f'font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</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: {background_color}; '
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# f'font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</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: {background_color}; '
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# f'font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</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: {background_color}; '
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# f'font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</span>"
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# )
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# else:
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# # use larger font size for specific parts of speech, such as nouns and verbs
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# font_size = FONT_SIZE
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# if token.pos_ in ["NOUN", "VERB"]:
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# font_size = "22px"
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# colorized_text += (
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# f'<span style="font-family: {font}; '
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# f'font-size: {font_size}; '
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# f'font-weight: bold; '
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# f'text-decoration: none; '
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# f'padding-right: 0.5em;">'
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# f"{token.text}</span>"
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# )
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# colorized_text += "<br>"
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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": "#5e5e5e", # Dark gray
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"VERB": "#ff6936", # Orange
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"ADJ": "#4363d8", # Blue
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"ADV": "#228b22", # Green
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"quote": "#b300b3" # Magenta
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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": "#5e5e5e",
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"VERB": "#ff6936",
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"ADJ": "#4363d8",
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"ADV": "#228b22",
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"digit": "#9a45d6",
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"punct": "#ffcc00",
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"quote": "#b300b3"
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}
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# define a muted background color
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BACKGROUND_COLOR = "#f5f5f5" # Light gray
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# define font and size
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FONT = "Arial"
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FONT_SIZE = "14px"
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# load the English language model
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nlp = spacy.load('en_core_web_sm')
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def colorize_text(text, colors=DYSLEXIA_COLORS, background_color=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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colorized_text += (
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f'<span style="color: {color}; '
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f'background-color: {background_color}; '
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f'font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</span>"
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)
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else:
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colorized_text += (
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f'<span style="font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</span>"
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)
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else:
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colorized_text += (
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f'<span style="color: {color}; '
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f'background-color: {background_color}; '
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f'font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</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: {background_color}; '
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f'font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</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: {background_color}; '
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f'font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'font-weight: bold; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</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: {background_color}; '
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f'font-family: {FONT}; '
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f'font-size: {FONT_SIZE}; '
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f'text-decoration: none; '
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f'padding-right: 0.5em;">' # Add space between tokens
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f"{token.text}</span>"
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)
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else:
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|
|
|
|
|
|
314 |
colorized_text += (
|
315 |
+
f'<span style="font-family: {FONT}; '
|
316 |
+
f'font-size: {FONT_SIZE}; '
|
317 |
f'font-weight: bold; '
|
318 |
f'text-decoration: none; '
|
319 |
+
f'padding-right: 0.5em;">' # Add space between tokens
|
320 |
f"{token.text}</span>"
|
321 |
)
|
322 |
colorized_text += "<br>"
|
323 |
+
|
324 |
return colorized_text
|
325 |
|
326 |
|