In today’s world, privacy and data security are paramount. Introducing **Incognito Pilot**, an AI code interpreter specifically designed for sensitive data, powered by modern architectures like GPT-4 and Code Llama Llama 2. In this article, we will walk you through the installation and usage of Incognito Pilot, with clear instructions to make the process as smooth as possible.
What is Incognito Pilot?
**Incognito Pilot** seamlessly combines a Large Language Model (LLM) with a local Python interpreter, allowing you to run code and remotely execute tasks without the worry of uploading sensitive data to the cloud. It gives you the flexibility of either using a local model or accessing an API via an approval workflow that keeps your data secure.
Installation Steps
To set up **Incognito Pilot** using GPT via the OpenAI API, follow these steps:
- 1. Install Docker.
- 2. Create an empty folder on your system named *home/user/ipilot*, which **Incognito Pilot** will use for file access.
- 3. Sign up for an OpenAI account, add your payment method, and create an API key.
- 4. Run the following command in your terminal (make sure to replace with your directory and API key):
docker run -i -t -p 3030:80 -e OPENAI_API_KEY=sk-your-api-key -e ALLOWED_HOSTS=localhost:3030 -v home/user/ipilot:/mnt/data silvanmelchior/incognito-pilot:latest-slim
After executing the command, you will see a URL displayed in the console. Open it to access the **Incognito Pilot** interface.
Getting Started with Incognito Pilot
Now that you have everything set up, let’s explore how to interact with the **Incognito Pilot** interface:
- Greetings: Start by typing “Hi” to see how the model responds to you.
- Hello World: Request it to “Print a hello world message for me.” You will receive a Python snippet. Once you approve, the code will execute locally, and you’ll see the result displayed.
- File Access: Type “Create a text file with all numbers from 0 to 100.” After approval, check your working directory; the file should now be present.
Understanding the Code Execution
When executing code within **Incognito Pilot**, think of it like having a personal assistant. You type commands and approve the actions they take, like assigning tasks to your assistant who performs them right at your desk.
Troubleshooting Tips
If you encounter issues during installation or usage, consider the following:
- Ensure Docker is correctly installed and running on your system.
- Check that the API key is valid and has the necessary permissions.
- If the interface does not load, verify that the correct port is being used and not blocked by firewall settings.
- For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
- Restarting the Docker container or checking logs for errors can often help identify issues.
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.
What’s Next?
As you become more familiar with **Incognito Pilot**, experiment with its various capabilities—from data analysis to file conversion and internet browsing functionalities. The potential for automation and efficiency is vast when using this powerful tool.
