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Update app.py
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app.py
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import os
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import json
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import gradio as gr
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from mistralai import Mistral
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api_key = os.environ["MISTRAL_API_KEY"]
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client = Mistral(api_key=api_key)
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model_name = "open-mistral-nemo"
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def generate_MCQquestion(text):
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prompt = f"""
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Context: {text}
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Task: Generate 3 Multiple Choice Questions (MCQs) in Arabic based on the context.
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Requirements:
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- Clear and direct questions.
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- Medium difficulty.
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- 4 options per question.
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- Only one correct answer.
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- Output MUST be valid JSON only.
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JSON Structure:
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{{
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"mcqs": [
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{{
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"question": "string",
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"options": ["opt1", "opt2", "opt3", "opt4"],
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"answer_index": integer
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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 = client.chat.complete(
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model=model_name,
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messages=[
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{"role": "user", "content": prompt}
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],
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response_format={"type": "json_object"},
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temperature=0.7
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)
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content = response.choices[0].message.content
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data = json.loads(content)
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result_text = ""
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labels = ["أ", "ب", "ج", "د"]
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for i, item in enumerate(data["mcqs"], 1):
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result_text += f"❓ السؤال {i}:\n"
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result_text += f"{item['question']}\n\n"
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for idx, option in enumerate(item["options"]):
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if idx == item["answer_index"]:
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result_text += f"✅ {labels[idx]}) {option}\n"
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else:
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result_text += f" {labels[idx]}) {option}\n"
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result_text += "\n----------------------\n\n"
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return result_text
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except Exception as e:
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return f"حدث خطأ:\n{str(e)}"
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# Gradio UI
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demo = gr.Interface(
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fn=generate_MCQquestion,
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inputs=gr.Textbox(
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lines=10,
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label="أدخل النص"
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),
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outputs=gr.Textbox(
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lines=20,
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label="الأسئلة"
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),
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title="مولد أسئلة اختيار من متعدد (MCQ)",
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description="باستخدام Mistral Nemo"
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)
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demo.launch()
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