Welcome to HackGPT—a powerful and customizable AI chatbot interface designed specifically for developers. This innovative tool is your companion for exploring the realm of GPT-based models, bringing exciting features to enhance your hacking capabilities.

Current Features

HackGPT is packed with key features that make it easy for developers to maximize their productivity:

• ChatGPT-like Interface: Enjoy an immersive chat-like environment with options to enable or disable the typing effect for quick responses.
• Fine-tuning: Customize your experience with various model options like GPT-3, GPT-4, and others. Adjust response parameters to tailor the AI’s behavior to your liking.
• Set-up Prompt Selection: Choose from preset prompts or craft your custom prompt for tailored interactions, unlocking more specific responses.
• Knowledge Cut-off: Dive into historical insights by setting a knowledge cut-off date, allowing you to explore events and trends from the past.
• On-demand Switching: Effortlessly switch between models and prompts to gain diverse AI-generated responses, benefitting from enhanced contextual understanding.

How to Get Started

Ready to dive into HackGPT? Follow the steps below to set it up easily.

Using Docker Compose (Recommended)

Docker Compose provides the easiest way to run HackGPT. Here’s how:

docker-compose up # -d to run in background

To stop the container, simply press Ctrl+C in the terminal. If you ran the container in the background using the -d flag, stop it with:

docker-compose stop

To remove the container completely, use:

docker-compose down

Using Docker (Manually)

If you prefer not to use Docker Compose, you can run the container manually:

docker run --rm -p 8501:8501 -v $(pwd)/app:app -w app python:3.9-slim bash -c "pip install -r requirements.txt && streamlit run app.py"

Using a Local Python Environment

If Docker isn’t your cup of tea, you can set up HackGPT in a local Python environment. Follow these steps:

cd app
pip install -r requirements.txt
streamlit run app.py

Troubleshooting Ideas

If you encounter any issues while setting up HackGPT, here are a few troubleshooting tips:

• Make sure you have Docker installed and configured properly if you’re using Docker or Docker Compose.
• Verify that your Python version is compatible (Python 3.9 is recommended).
• If you face package installation issues, try clearing the cache or using virtual environments to isolate dependencies.
• Consult the log output in the terminal for any error messages that may help you understand the issue better.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Feedback

Your feedback is vital to the evolution of HackGPT. We are excited to enhance your development experience and encourage exploration and experimentation with GPT-based models. Thank you for joining us on this journey!