Create app.py

app.py

@@ -0,0 +1,119 @@
+import streamlit as st
+import pandas as pd
+import requests
+from wordcloud import WordCloud
+import matplotlib.pyplot as plt
+
+# 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)
+    st.write("### Table View")
+    search_query = st.sidebar.text_input("Search", "")
+    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("Displaying the top 10 words from the selected CSV file.")
+    
+    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)
+    
+    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)[:10]
+        
+        wordcloud = WordCloud(width=800, height=400, background_color='white').generate(' '.join(top_words))
+        plt.figure(figsize=(10, 5))
+        plt.imshow(wordcloud, interpolation='bilinear')
+        plt.axis('off')
+        st.pyplot()
+
+if __name__ == "__main__":
+    main()