Create app.py

app.py

@@ -0,0 +1,36 @@
+import os
+import gradio as gr
+import pyarabic.araby as araby
+import pandas as pd
+import re
+from datasets import load_dataset
+from datasets import Features
+from datasets import Value
+from datasets import Dataset
+
+
+Secret_token = os.getenv('HF_token')
+
+
+books = load_dataset('FDSRashid/Hadith_info', data_files='Books.csv', token=Secret_token)['train'].to_pandas()
+books.loc[:, 'book_type'] = books['book_type'].apply(lambda x: x.replace('"', '')[2:])
+books.loc[:, 'Book_Name'] = books['Book_Name'].apply(lambda x: x.replace('"', ''))
+books.loc[:, 'Author'] = books['Author'].apply(lambda x: x.replace('"', ''))
+books = books.drop(columns = ['field5',	'field6',	'field7',	'field8'])
+
+
+def book_retriever(name):
+    if 'ALL' in name:
+        return books
+    else:
+        full_names = name.replace(', ', '|').replace(',', '|')
+        return books[(books['Book_Name'].apply(lambda x: araby.strip_diacritics(x)).str.contains(araby.strip_diacritics(name), regex=True)) | (books['Author'].apply(lambda x: araby.strip_diacritics(x)).str.contains(araby.strip_diacritics(name), regex=True)) | (books['Book_ID'].astype(str).isin(full_names.split('|')))]
+
+
+with gr.Blocks() as demo:
+    text_input = gr.Textbox()
+    text_output = gr.DataFrame(wrap=True)
+    text_button = gr.Button("Search")
+    text_button.click(narrator_retriever, inputs=text_input, outputs=text_output)
+
+demo.launch()