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Update app.py
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import gradio as gr
from transformers import pipeline
import langid # مكتبة للكشف عن اللغة
# تحميل نماذج التلخيص
summarizer_en = pipeline("summarization", model="facebook/bart-large-cnn")
summarizer_ar = pipeline("summarization", model="malmarjeh/t5-arabic-text-summarization")
def summarize_text(text, language):
if not text.strip():
return "Please enter text." if language == "English" else "الرجاء إدخال نص."
# الكشف عن لغة النص المدخل
detected_language, _ = langid.classify(text)
if detected_language == "en":
summary = summarizer_en(text, max_length=100, min_length=10, do_sample=False)[0]['summary_text']
elif detected_language == "ar":
summary = summarizer_ar(text, max_length=100, min_length=10, do_sample=False)[0]['summary_text']
else:
return "Unsupported language."
return summary
# gradio
def translate_ui(language):
return {
"title": " مرحبًا بك في أداة تلخيص النصوص👋" if language == "العربية" else "👋 Welcome to the Text Summarization Tool!",
"summarize_btn": " لخص النص" if language == "العربية" else " Summarize Text",
"text_input_label": "أدخل النص" if language == "العربية" else "Enter text",
"text_output_label": "النتيجة" if language == "العربية" else "Result"
}
def update_ui(language):
texts = translate_ui(language)
return texts["title"], texts["summarize_btn"], texts["text_input_label"], texts["text_output_label"]
with gr.Blocks() as demo:
lang_toggle = gr.Radio(["العربية", "English"], label="🌍 اختر لغة الواجهة", value="العربية")
title = gr.Markdown("## 👋 مرحبًا بك في أداة تلخيص النصوص")
with gr.Row():
with gr.Column():
text_input_label = gr.Markdown("أدخل النص")
text_input = gr.Textbox(label="")
summarize_btn = gr.Button("لخص النص", variant="primary")
with gr.Column():
text_output_label = gr.Markdown("النتيجة")
text_output = gr.Textbox(label="")
# تغيير النصوص عند تغيير اللغة
lang_toggle.change(fn=lambda lang: update_ui(lang), inputs=lang_toggle, outputs=[title, summarize_btn, text_input_label, text_output_label])
summarize_btn.click(fn=summarize_text, inputs=[text_input, lang_toggle], outputs=text_output)
demo.launch()