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import gradio as gr |
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import json |
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import re |
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import google.generativeai as genai |
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API_KEY = "AIzaSyB4JKubDJd7nLx1NqPhDfMGeVWeQ7kqClY" |
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genai.configure(api_key=API_KEY) |
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MODEL_NAME = "gemini-2.5-flash" |
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model = genai.GenerativeModel(MODEL_NAME) |
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def generate_mcqs_gemini(paragraph: str, n_questions: int, n_choices: int = 4): |
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if not paragraph or paragraph.strip() == "": |
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return " Please enter a paragraph first.", "" |
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prompt = f""" |
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اقرأ الفقرة أو الدرس الآتي بعناية: |
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{paragraph} |
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ثم أنشئ {n_questions} سؤال من نوع الاختيار من متعدد (MCQ) يختبر الفهم الحقيقي لمضمون النص. |
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يجب أن تتصف الأسئلة بالشروط التالية: |
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- أن تكون واضحة ومباشرة. |
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- أن يكون مستوى الصعوبة متوسطًا. |
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- أن تكون الخيارات الأربعة متقاربة المعنى إلى حدٍّ ما، ولكن واحدة منها فقط صحيحة بوضوح. |
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- أن تُكتب الخيارات بلغة عربية فصحى سليمة ومتناسقة في الأسلوب. |
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- عدد الخيارات = {n_choices}. |
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أعِد المخرجات بصيغة JSON فقط بدون أي شرح إضافي. |
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البنية المطلوبة: |
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{{ |
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"mcqs": [ |
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{{ |
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"question": "النص", |
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"options": ["اختيار1","اختيار2","اختيار3","اختيار4"], |
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"answer_index": رقم (0 إلى {n_choices-1}) |
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}} |
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] |
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}} |
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""" |
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try: |
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response = model.generate_content(prompt) |
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raw_text = response.text.strip() |
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cleaned = re.sub(r"```(json)?", "", raw_text).strip("` \n") |
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data = json.loads(cleaned) |
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mcqs = data.get("mcqs", []) |
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if not mcqs: |
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return " Could not parse MCQs.", "" |
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questions_text = "" |
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answers_text = "" |
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for i, q in enumerate(mcqs, 1): |
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questions_text += f"\nQ{i}: {q['question']}\n" |
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for j, opt in enumerate(q["options"]): |
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questions_text += f" {j}) {opt}\n" |
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correct_idx = q["answer_index"] |
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answers_text += f"Q{i}: {correct_idx} {q['options'][correct_idx]}\n" |
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return questions_text, answers_text |
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except Exception as e: |
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return f" Error while connecting to API: {e}", "" |
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with gr.Blocks() as demo: |
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gr.Markdown("## Arabic MCQ Generator (Difficulty = سهل)") |
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paragraph = gr.Textbox( |
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label="Paragraph (Input text)", |
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lines=8, |
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placeholder="Paste your paragraph here..." |
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) |
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n_questions = gr.Number( |
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label="Number of Questions", |
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value=5, |
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precision=0 |
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) |
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output_questions = gr.Textbox(label="Generated MCQs (without answers)", lines=20) |
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output_answers = gr.Textbox(label="Answers with index", lines=10) |
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submit_btn = gr.Button("Submit") |
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submit_btn.click( |
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fn=generate_mcqs_gemini, |
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inputs=[paragraph, n_questions], |
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outputs=[output_questions, output_answers] |
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) |
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if __name__ == "__main__": |
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demo.launch(share=True, show_error=True) |
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