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Create app.py
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app.py
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import os
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from openai import OpenAI
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import gradio as gr
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# Load API key from environment (for Hugging Face Secrets)
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api_key = os.environ["GROQ_API_KEY"]
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# Initialize OpenAI client for Groq
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client = OpenAI(
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api_key=api_key,
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base_url="https://api.groq.com/openai/v1"
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)
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def generate_test_content(subject, chapter, topic, question_type, language):
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try:
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lang_instruction = "Answer in simple English." if language == "English" else "Answer in simple Urdu."
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user_prompt = f"""
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You are a test preparation tutor for Pakistani board students of Class 9 and 10.
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Prepare content only from the specified syllabus.
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Subject: {subject}
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Chapter: {chapter}
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Topic: {topic}
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Question Type: {question_type}
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{lang_instruction}
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1. Provide test preparation content from the given topic.
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2. If MCQs are selected, generate at least 5 MCQs with correct answers.
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3. If Short/Long Questions are selected, give proper answers based on syllabus.
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4. If Important Topics is selected, list 5 key concepts from this chapter.
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Be friendly, encouraging, and never add off-topic material.
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"""
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response = client.chat.completions.create(
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model="llama3-70b-8192", # Supported model on Groq
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messages=[
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{"role": "system", "content": "You are a helpful exam preparation assistant."},
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{"role": "user", "content": user_prompt}
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]
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)
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return response.choices[0].message.content
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except Exception as e:
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return f"\u274c Error: {str(e)}"
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# Gradio Interface
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interface = gr.Interface(
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fn=generate_test_content,
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inputs=[
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gr.Textbox(label="\ud83d\udcd8 Subject (e.g., Biology)"),
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gr.Textbox(label="\ud83d\udd22 Chapter (e.g., Chapter 2)"),
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gr.Textbox(label="\ud83d\udccc Topic (e.g., Cell Structure)"),
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gr.Radio(["MCQs", "Short Questions", "Long Questions", "Important Topics"], label="\u2753 Question Type"),
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gr.Radio(["English", "Urdu"], label="\ud83c\udf10 Language")
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],
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outputs="text",
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title="\ud83e\udde0 TestPrep Guru \u2014 Syllabus-Based Exam Chatbot",
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description="Get MCQs, short/long answers, and important topics based on your syllabus. Perfect for Class 9 & 10 students in Pakistan."
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)
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interface.launch()
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