Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+import graphviz
+from PIL import Image
+
+# تحميل موديل التلخيص
+model_name = "csebuetnlp/mT5_multilingual_XLSum"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+# تحميل موديل توليد الأسئلة
+question_generator = pipeline("text2text-generation", model="valhalla/t5-small-e2e-qg")
+
+# دالة تلخيص النص
+def summarize_text(text, src_lang):
+    inputs = tokenizer(text, return_tensors="pt", max_length=512, truncation=True)
+    summary_ids = model.generate(inputs["input_ids"], max_length=150, min_length=30, length_penalty=2.0, num_beams=4, early_stopping=True)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+
+# دالة توليد الأسئلة
+def generate_questions(summary):
+    questions = question_generator(summary, max_length=64, num_return_sequences=5)
+    return [q['generated_text'] for q in questions]
+
+# دالة توليد خريطة مفاهيم
+def generate_concept_map(summary, questions):
+    dot = graphviz.Digraph(comment='Concept Map')
+    dot.node('A', summary)
+    for i, question in enumerate(questions):
+        dot.node(f'Q{i}', question)
+        dot.edge('A', f'Q{i}')
+    dot.render('concept_map', format='png')
+    return Image.open('concept_map.png')
+
+# دالة التحليل الكامل
+def analyze_text(text, lang):
+    summary = summarize_text(text, lang)
+    questions = generate_questions(summary)
+    concept_map_image = generate_concept_map(summary, questions)
+    return summary, questions, concept_map_image
+
+# أمثلة للنصوص
+examples = [
+    ["الذكاء الاصطناعي هو فرع من علوم الكمبيوتر يهدف إلى إنشاء آلات ذكية تعمل وتتفاعل مثل البشر. بعض الأنشطة التي صممت أجهزة الكمبيوتر الذكية للقيام بها تشمل: التعرف على الصوت، التعلم، التخطيط، وحل المشاكل.", "ar"],
+    ["Artificial intelligence is a branch of computer science that aims to create intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, learning, planning, and problem-solving.", "en"]
+]
+
+# واجهة Gradio
+iface = gr.Interface(
+    fn=analyze_text,
+    inputs=[gr.Textbox(lines=10, placeholder="Enter text here........"), gr.Dropdown(["ar", "en"], label="Language")],
+    outputs=[gr.Textbox(label="Summary"), gr.Textbox(label="Questions"), gr.Image(label="Concept Map")],
+    examples=examples,
+    title="AI Study Assistant",
+    description="Enter a text in Arabic or English and the model will summarize it and generate various questions about it in addition to generating a concept map, or you can choose one of the examples."
+)
+
+# تشغيل التطبيق
+if __name__ == "__main__":
+    iface.launch()