REC QPG is a web application designed to generate question papers based on uploaded PDF notes. It utilizes LangChain models and Groq API for natural language processing tasks.
Note: This is just a prototype, I have added only a sample paper pattern. Modify the pattern before using for real exams.
- Upload PDF files containing study notes.
- Choose from different examination types (CAT-1, CAT-2, CAT-3, End Semester) for question paper generation.
- Customize the model used for question generation.
- Prototype model for generating question papers based on predefined patterns.
- Responsive UI with Streamlit.
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Clone the repo:
git clone https://github.com/sajayprakash/rec-qpg
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Install dependencies:
pip install -r requirements.txt
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Set up environment variables:
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Create a .env file in the root directory.
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Add your GROQ API key to the .env file:
GROQ_API_KEY=your_groq_api_key
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