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| import pandas as pd | |
| import re | |
| import gradio as gr | |
| from collections import defaultdict | |
| # Load the dataset | |
| quran_english_with_surah = pd.read_csv('/Users/salam9/Desktop/quran/en.yusufali.csv') | |
| surah_names = pd.read_csv('/Users/salam9/Desktop/quran/surah_names_english.csv', names=['Surah', 'Surah Name']) | |
| surah_names["Surah Name"] = surah_names["Surah Name"].str[1:] | |
| quran_english_with_surah = quran_english_with_surah.merge(surah_names, on='Surah') | |
| quran_english_with_surah.index = pd.RangeIndex(start=1, stop=len(quran_english_with_surah) + 1) | |
| # Create the inverted index | |
| def create_inverted_index(dataframe): | |
| 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 | |
| inverted_index = create_inverted_index(quran_english_with_surah) | |
| # Define the search function | |
| def search_quran(keyword): | |
| results = [] | |
| if 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_english_with_surah[(quran_english_with_surah['Surah'] == surah_num) & | |
| (quran_english_with_surah['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>' | |
| # Create the Gradio interface with a modern theme | |
| css = """ | |
| body { | |
| font-family: 'Arial', sans-serif; | |
| background-color: #f4f4f9; | |
| color: #333; | |
| margin: 0; | |
| padding: 0; | |
| } | |
| .gradio-container { | |
| max-width: 100%; | |
| margin: 0 auto; | |
| padding: 20px; | |
| } | |
| .gradio-input, .gradio-output { | |
| width: 100%; | |
| } | |
| .gradio-title { | |
| font-size: 2em; | |
| font-weight: bold; | |
| margin-bottom: 20px; | |
| } | |
| .gradio-description { | |
| font-size: 1.2em; | |
| margin-bottom: 20px; | |
| } | |
| """ | |
| iface = gr.Interface( | |
| fn=search_quran, | |
| inputs=gr.Textbox(label="Enter a keyword"), | |
| outputs=gr.HTML(label="Search Results"), | |
| title='Quran Keyword Search', | |
| description='Enter a keyword to search in the Quran', | |
| css=css | |
| ) | |
| iface.launch(share=True) | |