prepforge 0.1.0

AI Exam Preparation System with TUI, GUI, and Streamlit

🎓 PrepForge

PrepForge is an AI-powered exam preparation system with multiple interfaces and support for base LLMs and LoRA adapters.

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📦 Installation

Install directly from PyPI:

pip install prepforge

PyPI: https://pypi.org/project/prepforge/0.1.0/

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✨ Features

• 🖥 Terminal UI (TUI)
• 🪟 Desktop GUI (PyQt6)
• 🌐 Web interface (Streamlit)
• 🧠 Supports base models and LoRA adapters
• 🏋️ Built-in training pipeline (QLoRA / Unsloth)
• ⚡ Offline inference support

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🚀 Usage

Terminal Interface (TUI)

prepforge run tui

Desktop GUI

prepforge run gui

Web Interface

prepforge run streamlit

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⚙️ Configuration

Set default model:

prepforge config --model <model_name_or_path>

Set LoRA adapter:

prepforge config --lora <adapter_path>

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🏋️ Training

prepforge train \
  --dataset dataset.jsonl \
  --epochs 3 \
  --output trained_model

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📊 Dataset Format

{
  "instruction": "Explain Newton's laws",
  "input": "",
  "output": "Newton's laws describe motion..."
}

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📂 Project Structure

major_project/
├── core/
│   ├── model.py
│   ├── train.py
│   └── utils.py
├── tui_app.py
├── gui_app.py
├── streamlit_app.py
├── cli.py
├── config.py

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⚠️ Notes

• Models are not bundled with the package
• Users must download base models separately
• GPU (CUDA) is recommended for best performance

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🧑‍💻 Author

Himanshu Arora

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📜 License

MIT License