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import gradio as gr
from transformers import pipeline
import langid # مكتبة للكشف عن اللغة
summarizer_en = pipeline("summarization", model="facebook/bart-large-cnn")
summarizer_ar = pipeline("summarization", model="malmarjeh/t5-arabic-text-summarization")
def summarize_text(text, language, min_length, max_length):
if not text.strip():
return "Please enter text." if language == "English" else "الرجاء إدخال نص."
detected_language, _ = langid.classify(text)
if detected_language == "en":
summary = summarizer_en(
text,
max_length=int(max_length),
min_length=int(min_length),
do_sample=False,
no_repeat_ngram_size=2
)[0]['summary_text']
elif detected_language == "ar":
summary = summarizer_ar(
text,
max_length=int(max_length),
min_length=int(min_length),
do_sample=False,
no_repeat_ngram_size=2
)[0]['summary_text']
else:
return "Unsupported language."
return summary
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",
"min_length_label": "الحد الأدنى للطول" if language == "العربية" else "Minimum Length",
"max_length_label": "الحد الأقصى للطول" if language == "العربية" else "Maximum Length"
}
def update_ui(language):
texts = translate_ui(language)
return (
texts["title"],
texts["summarize_btn"],
texts["text_input_label"],
texts["text_output_label"],
texts["min_length_label"],
texts["max_length_label"]
)
with gr.Blocks() as demo:
lang_toggle = gr.Radio(
["العربية", "English"],
label="🌍 اختر لغة الواجهة",
value="العربية",
elem_id="language-toggle"
)
title = gr.Markdown(
"## 👋 مرحبًا بك في أداة تلخيص النصوص",
elem_id="title"
)
with gr.Row():
with gr.Column():
text_input_label = gr.Markdown(
"أدخل النص",
elem_id="text-input-label"
)
text_input = gr.Textbox(
label="",
elem_id="text-input"
)
min_length_label = gr.Markdown(
"الحد الأدنى للطول",
elem_id="min-length-label"
)
min_length = gr.Slider(
minimum=10,
maximum=50,
value=10,
step=1,
label="",
elem_id="min-length-slider"
)
max_length_label = gr.Markdown(
"الحد الأقصى للطول",
elem_id="max-length-label"
)
max_length = gr.Slider(
minimum=50,
maximum=150,
value=100,
step=1,
label="",
elem_id="max-length-slider"
)
summarize_btn = gr.Button(
"لخص النص",
elem_id="summarize-btn", variant="primary"
)
with gr.Column():
text_output_label = gr.Markdown(
"النتيجة",
elem_id="text-output-label"
)
text_output = gr.Textbox(
label="",
elem_id="text-output"
)
lang_toggle.change(
fn=lambda lang: update_ui(lang),
inputs=lang_toggle,
outputs=[
title,
summarize_btn,
text_input_label,
text_output_label,
min_length_label,
max_length_label
]
)
summarize_btn.click(
fn=summarize_text,
inputs=[text_input, lang_toggle, min_length, max_length],
outputs=text_output
)
demo.launch()
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