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import gradio as gr
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("mohres/The_Arabic_E-Book_Corpus")
def filter_arabic_novels():
# Select only rows containing novel-like words
filtered_data = dataset['train'].filter(lambda x: "رواية" in x['text'])
return filtered_data
# Function to display the first row text
def get_first_text():
try:
return dataset['train'][0]['text']
except Exception as e:
return str(e)
# Create a Gradio Interface
interface = gr.Interface(
fn=lambda: filter_arabic_novels()[0]['text'], # Only show first filtered sample
inputs=[],
outputs="text",
)
# Launch the interface
interface.launch()
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