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Runtime error
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Create braille_translator.py
Browse files- models/braille_translator.py +166 -0
models/braille_translator.py
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from transformers import pipeline
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import re
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# English to Braille mapping (Grade 1 Braille)
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BRAILLE_MAP = {
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'a': '⠁', 'b': '⠃', 'c': '⠉', 'd': '⠙', 'e': '⠑', 'f': '⠋', 'g': '⠛', 'h': '⠓', 'i': '⠊', 'j': '⠚',
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'k': '⠅', 'l': '⠇', 'm': '⠍', 'n': '⠝', 'o': '⠕', 'p': '⠏', 'q': '⠟', 'r': '⠗', 's': '⠎', 't': '⠞',
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'u': '⠥', 'v': '⠧', 'w': '⠺', 'x': '⠭', 'y': '⠽', 'z': '⠵',
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'0': '⠚', '1': '⠁', '2': '⠃', '3': '⠉', '4': '⠙', '5': '⠑', '6': '⠋', '7': '⠛', '8': '⠓', '9': '⠊',
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'.': '⠲', ',': '⠂', ';': '⠆', ':': '⠒', '!': '⠖', '?': '⠦', '"': '⠦', "'": '⠄', '(': '⠐⠣', ')': '⠐⠜',
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'-': '⠤', '/': '⠌', '+': '⠬', '=': '⠐⠶', '*': '⠐⠔', '&': '⠯', '%': '⠐⠏', '#': '⠼', '@': '⠐⠁',
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'$': '⠐⠎', '€': '⠐⠑', '£': '⠐⠇', '¥': '⠐⠽', '₹': '⠐⠗',
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' ': '⠀'
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}
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# Initialize the summarization pipeline for context understanding
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summarizer = None
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def get_summarizer():
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"""Get or initialize the summarization model."""
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global summarizer
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if summarizer is None:
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try:
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# Use a small, efficient model for summarization
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summarizer = pipeline(
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"summarization",
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model="facebook/bart-large-cnn",
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max_length=100,
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min_length=30,
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truncation=True
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)
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except Exception as e:
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print(f"Error loading summarizer: {str(e)}")
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return summarizer
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def text_to_grade1_braille(text):
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"""
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Convert text to Grade 1 Braille.
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Args:
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text: Text to convert
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Returns:
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Braille text
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"""
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braille_text = ""
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for char in text.lower():
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if char in BRAILLE_MAP:
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braille_text += BRAILLE_MAP[char]
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else:
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# For characters not in our map, just keep the original
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braille_text += char
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return braille_text
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def text_to_braille(text, use_context=True):
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"""
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Convert text to Braille, with optional context enhancement.
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Args:
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text: Text to convert to Braille
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use_context: Whether to use AI to enhance context understanding
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Returns:
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Dictionary with Braille text and metadata
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"""
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try:
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# Basic Braille translation
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braille_text = text_to_grade1_braille(text)
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# If context enhancement is enabled
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context_summary = None
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if use_context and len(text) > 200: # Only for longer texts
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summarizer = get_summarizer()
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if summarizer:
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try:
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# Generate a summary to understand context
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summary_result = summarizer(text)
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if summary_result and len(summary_result) > 0:
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context_summary = summary_result[0]['summary_text']
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except Exception as e:
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print(f"Summarization error: {str(e)}")
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# Format the Braille text for better readability
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formatted_braille = format_braille_text(braille_text)
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return {
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'braille_text': braille_text,
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'formatted_braille': formatted_braille,
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'context_summary': context_summary,
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'success': True
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}
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except Exception as e:
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return {
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'braille_text': '',
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'error': str(e),
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'success': False
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}
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def format_braille_text(braille_text, line_length=32):
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"""
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Format Braille text for better readability.
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Args:
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braille_text: Raw Braille text
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line_length: Maximum characters per line
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Returns:
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Formatted Braille text
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"""
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# Split text by existing newlines first
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paragraphs = braille_text.split('\n')
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formatted_paragraphs = []
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for paragraph in paragraphs:
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# Skip empty paragraphs
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if not paragraph.strip():
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formatted_paragraphs.append('')
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continue
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# Word wrap to line_length
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words = paragraph.split(' ')
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lines = []
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current_line = []
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current_length = 0
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for word in words:
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# If adding this word exceeds line length, start a new line
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if current_length + len(word) + (1 if current_length > 0 else 0) > line_length:
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lines.append(' '.join(current_line))
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current_line = [word]
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current_length = len(word)
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else:
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if current_length > 0:
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current_length += 1 # Space
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current_line.append(word)
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current_length += len(word)
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# Add the last line if not empty
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if current_line:
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lines.append(' '.join(current_line))
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formatted_paragraphs.append('\n'.join(lines))
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# Join paragraphs with double newlines
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return '\n\n'.join(formatted_paragraphs)
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def get_braille_metadata(text):
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"""
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Get metadata about the Braille translation.
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Args:
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text: Original text
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Returns:
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Dictionary with metadata
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"""
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word_count = len(re.findall(r'\b\w+\b', text))
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character_count = len(text)
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line_count = len(text.split('\n'))
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return {
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'word_count': word_count,
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'character_count': character_count,
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'line_count': line_count
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}
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