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| import gradio as gr | |
| import re | |
| from collections import defaultdict | |
| def create_inverted_index(dataframe): | |
| """ | |
| Create an inverted index from the Quran dataset for efficient word searching. | |
| Args: | |
| dataframe (pd.DataFrame): The Quran dataset with Text column | |
| Returns: | |
| defaultdict: A dictionary mapping words to their locations (surah, ayah) | |
| """ | |
| inverted_index = defaultdict(list) | |
| for index, row in dataframe.iterrows(): | |
| words = row['Text'].split() | |
| for word in words: | |
| word = re.sub(r'\W+', '', word).lower() | |
| if word: | |
| inverted_index[word].append((row['Surah'], row['Ayah'])) | |
| return inverted_index | |
| def search_quran(keyword, quran_data, inverted_index): | |
| """ | |
| Search for a keyword in the Quran and return formatted results. | |
| Args: | |
| keyword (str): The word to search for | |
| quran_data (pd.DataFrame): The Quran dataset | |
| inverted_index (defaultdict): The inverted index for word searching | |
| Returns: | |
| str: HTML formatted search results | |
| """ | |
| results = [] | |
| if not keyword or keyword.lower() not in inverted_index: | |
| return f"No occurrences found for '{keyword}'" | |
| verse_ids = inverted_index[keyword.lower()] | |
| for verse_id in verse_ids: | |
| surah_num, verse_num = verse_id | |
| verse_data = quran_data[(quran_data['Surah'] == surah_num) & | |
| (quran_data['Ayah'] == verse_num)] | |
| surah_name = verse_data['Surah Name'].iloc[0] | |
| verse_text = verse_data['Text'].iloc[0] | |
| highlighted_text = re.sub( | |
| f"(?i)({keyword})", | |
| r'<mark style="background-color: yellow; color: black;">\1</mark>', | |
| verse_text | |
| ) | |
| results.append( | |
| f"<div style='padding: 10px; border-bottom: 1px solid #ccc;'>" | |
| f"<strong>Surah:</strong> {surah_name}<br>" | |
| f"<strong>Reference:</strong> {surah_num}:{verse_num}<br>" | |
| f"<strong>Occurrences in verse:</strong> {verse_text.lower().count(keyword.lower())}<br>" | |
| f"<strong>Text:</strong> {highlighted_text}</div>" | |
| ) | |
| return '<div style="max-height: 500px; overflow-y: auto; width: 100%; font-size: 18px;">' + ''.join(results) + '</div>' | |
| def create_search_tab(quran_data): | |
| """ | |
| Create the search tab interface with description and functionality. | |
| Args: | |
| quran_data (pd.DataFrame): The Quran dataset | |
| Returns: | |
| gr.Tab: The configured search tab | |
| """ | |
| inverted_index = create_inverted_index(quran_data) | |
| with gr.Tab("Search") as tab: | |
| gr.Markdown("# Quran Keyword Search") | |
| gr.Markdown(""" | |
| <div class='tab-description'> | |
| Welcome to the Quran Search tool! This feature allows you to: | |
| - Search for any word or phrase in the English translation | |
| - See highlighted matches in their original context | |
| - View Surah name and verse references for each result | |
| - Track the number of occurrences in each verse | |
| </div> | |
| """) | |
| keyword_input = gr.Textbox( | |
| label="Enter a keyword", | |
| placeholder="Type a word to search in the Quran" | |
| ) | |
| search_results = gr.HTML(label="Search Results") | |
| search_button = gr.Button("Search") | |
| def search_wrapper(keyword): | |
| return search_quran(keyword, quran_data, inverted_index) | |
| search_button.click( | |
| search_wrapper, | |
| inputs=keyword_input, | |
| outputs=search_results | |
| ) | |
| return tab |