app.py

import streamlit as st
import pandas as pd
import requests
from wordcloud import WordCloud
import plotly.express as px

# Define array of file paths for each book
book_files = {
    "Maliks_Muwataa": [
        "maliks_muwataa_ahadith.utf8.csv",
        "maliks_muwataa_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Musnad_Ahmad_Ibn-Hanbal": [
        "musnad_ahmad_ibn-hanbal_ahadith.utf8.csv",
        "musnad_ahmad_ibn-hanbal_ahadith_mushakkala.utf8.csv"
    ],
    "Sahih_Al-Bukhari": [
        "sahih_al-bukhari_ahadith.utf8.csv",
        "sahih_al-bukhari_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sahih_Muslim": [
        "sahih_muslim_ahadith.utf8.csv",
        "sahih_muslim_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sunan_Abu-Dawud": [
        "sunan_abu-dawud_ahadith.utf8.csv",
        "sunan_abu-dawud_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sunan_Al-Darimi": [
        "sunan_al-darimi_ahadith.utf8.csv",
        "sunan_al-darimi_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sunan_Al-Nasai": [
        "sunan_al-nasai_ahadith.utf8.csv",
        "sunan_al-nasai_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sunan_Al-Tirmidhi": [
        "sunan_al-tirmidhi_ahadith.utf8.csv",
        "sunan_al-tirmidhi_ahadith_mushakkala_mufassala.utf8.csv"
    ],
    "Sunan_Ibn-Maja": [
        "sunan_ibn-maja_ahadith.utf8.csv",
        "sunan_ibn-maja_ahadith_mushakkala_mufassala.utf8.csv"
    ]
}

# Main Streamlit app
def main():
    st.title("Hadith Viewer")

    st.sidebar.title("Navigation")
    st.sidebar.subheader("Actions")
    if st.sidebar.button("Home"):
        display_home()
    if st.sidebar.button("Word Cloud"):
        display_word_cloud()

    st.sidebar.title("Books")
    selected_book = st.sidebar.selectbox("Select a Book", list(book_files.keys()))

    selected_files = book_files[selected_book]
    selected_file = st.sidebar.selectbox("Select a File", selected_files)

    # Load CSV file immediately when selected from the list
    file_url = f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{selected_book}/{selected_file}"
    csv_df = pd.read_csv(file_url, header=None)  # Assuming no header in CSV files

    if csv_df is not None:
        # Display dataframe with search
        display_table(csv_df)

def display_home():
    st.title("Hadith Viewer")
    st.image("https://raw.githubusercontent.com/halimbahae/Hadith/main/Hadith_Books.jpg", caption="Hadith Books", use_column_width=True)
    st.write("Welcome to the Hadith Viewer! This is a viewer for the Hadith collections. You can select a book from the dropdown menu on the left to view its contents.")

def display_table(csv_df):
    font_size = st.slider("Adjust Font Size", min_value=10, max_value=30, value=20, key="font_size_slider")
    st.write("### Table View")
    search_query = st.sidebar.text_input("Search", "", key="search_input")
    filtered_df = csv_df[csv_df.apply(lambda row: row.astype(str).str.contains(search_query, case=False).any(), axis=1)]
    styled_df = (
        filtered_df.style
        .set_properties(**{'font-size': f'{font_size}px'})
        .set_table_styles([{'selector': 'th', 'props': [('font-size', f'{font_size}px')]},
                           {'selector': 'td', 'props': [('font-size', f'{font_size}px'), ('line-height', '1.5')]}])
    )
    st.dataframe(styled_df)

def display_word_cloud():
    st.title("Word Cloud")
    st.write("Select the number of words to display.")

    selected_book = st.sidebar.selectbox("Select a Book", list(book_files.keys()), key="word_cloud_book_select")
    selected_files = book_files[selected_book]
    selected_file = st.sidebar.selectbox("Select a File", selected_files, key="word_cloud_file_select")
    
    file_url = f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{selected_book}/{selected_file}"
    csv_df = pd.read_csv(file_url, header=None) 
    
    if csv_df is not None:
        word_counts = {}
        for row in csv_df.itertuples(index=False):
            for word in str(row[1]).split():
                if word in word_counts:
                    word_counts[word] += 1
                else:
                    word_counts[word] = 1
        
        top_words = sorted(word_counts, key=word_counts.get, reverse=True)[:st.slider("Select Number of Words", min_value=10, max_value=50, value=10, key="word_slider")]
        
        wordcloud_data = {'word': top_words, 'count': [word_counts[word] for word in top_words]}
        wordcloud_df = pd.DataFrame(wordcloud_data)
        
        fig = px.bar(wordcloud_df, x='word', y='count', title="Word Cloud")
        st.plotly_chart(fig)

if __name__ == "__main__":
    main()