SmartPilot

SmartPilot is an AI-powered question answering system that generates, analyzes, and selects the best answer to a given question. It leverages OpenAI's Chat Completions API with GPT-4 Turbo to provide high-quality, reliable, and accurate responses through a multi-step reasoning pipeline.

Overview

SmartPilot uses a sophisticated pipeline to improve answer quality:

1. Generate: Creates multiple initial answers using high-temperature sampling for diversity
2. Analyze: Evaluates each answer's strengths, weaknesses, and logical consistency
3. Resolve: Improves answers by addressing identified flaws and enhancing strengths
4. Select: Chooses the best final answer based on accuracy, completeness, and clarity

Installation

This project uses UV for modern Python package management.

Using UV (Recommended)

# Install UV if not already installed
pip install uv

# Install the project and dependencies
uv sync

# Install with development dependencies (for testing)
uv sync --extra dev

# Install with Streamlit support
uv sync --extra streamlit

Using pip

pip install -e .

# With development dependencies
pip install -e ".[dev]"

# With Streamlit support
pip install -e ".[streamlit]"

Configuration

Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY="your-api-key-here"

Or create a .env file in the project root:

OPENAI_API_KEY=your-api-key-here

Usage

Command Line Interface

# Using UV
uv run python -m smartpilot.main

# Or using the installed package
smartpilot

You will be prompted to enter your question and the number of initial answers to generate.

Streamlit Web Interface

# Using UV
uv run streamlit run src/smartpilot/streamlit_app.py

# Or using the installed package
streamlit run src/smartpilot/streamlit_app.py

As a Python Library

import asyncio
from smartpilot.main import run_smartpilot

async def main():
    result = await run_smartpilot(
        question="What is the best way to learn Python?",
        n=3  # Number of initial answers to generate
    )
    
    print("Best Answer:", result["selected_answer"])

asyncio.run(main())

Development

Running Tests

# Using UV
uv run pytest

# With verbose output
uv run pytest -v

# Using pytest directly
pytest tests/

Project Structure

smartpilot/
├── src/
│   └── smartpilot/
│       ├── __init__.py
│       ├── main.py          # Core pipeline logic
│       ├── prompts.py       # System prompts
│       └── streamlit_app.py # Web interface
├── tests/
│   ├── test_main.py
│   └── test_prompts.py
├── pyproject.toml           # Project configuration
└── README.md

Credits

This program was inspired by the ideas discussed in the AI Explained YouTube Channel's video on SmartGPT.

License

This project is licensed under the MIT License. See the LICENSE file for details.