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import gradio as gr
from transformers import pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
def summarize_text(text):
word_count = len(text.split()) # حساب عدد الكلمات
if word_count < 10:
return "Error: The text should have at least 10 words."
elif word_count > 100:
return "Error: The text should have no more than 100 words."
summary = summarizer(text, min_length=10, max_length=100)
return summary[0]['summary_text']
interface = gr.Interface(
fn=summarize_text,
inputs=gr.Textbox(label="Enter Text", lines=10, placeholder="Paste your long text here..."),
outputs=gr.Textbox(label="Summarized Text"),
title="Text Summarizer",
description="This app uses the BART model to summarize your text. The input text must be between 10 and 100 words."
)
interface.launch()
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