Open Interpreter의 실력은? GPT-4와 협력하여 최신 뉴스 얻기 & 게임 제작 도전!

Table of Contents

1. Introduction
2. What is an Open Interpreter?
3. Installing the Open Interpreter
   • Pip Installation
4. Using the Open Interpreter
   • API Key Input
   • Choosing Parameters
   • Running the Interpreter
5. Troubleshooting and Alternative Solutions
   • Docker Option
   • Troubleshooting Installation Issues
6. Switching to GPT4
   • Using GPT4 API Key
   • Running GPT4 Interpreter
7. Web Scraping with the Open Interpreter
   • Scraping Yahoo News
   • Extracting Headlines and URLs
8. Searching for AI News with Google
   • Accessing Google Search Results
   • Extracting Article Summaries
9. Creating a Simple Game with the Open Interpreter
   • Installing the Pygame Library
   • Implementing Tetris Game
   • Running the Game
10. Conclusion
11. FAQ

Introduction

오늘은 오븐 인터프리터에 대해 이야기하려고 합니다. 오븐 인터프리터는 오픈 소스로 구동되는 로컬 코드 인터프리터인데요, 이것을 로컬에서 돌리고자 하는 목적으로 사용합니다. 설치 방법은 pip를 통해 설치하시면 되는데, 제가 이미 설치를 하여서 다른 분들도 해볼 수 있다는 표시가 있습니다. 실행은 'Interpreter'를 실행하시면 됩니다. 만약 GPT4를 사용하려면 OpenAI의 API 키를 입력하셔야 합니다. 이번에도 무료로 사용할 수 있지만 조금 불안정한 편입니다. API 키를 가지고 있는 경우 자유롭게 입력하실 수 있으나 이번에는 모두가 사용할 수 있도록 코드 래퍼만으로 해보도록 합시다. 설치까지 완료하면 'Interpreter'로 전환됩니다. 여기서 파라미터 수를 선택하고 실행합니다. GPU가 있으신 분들은 큰 모델을 선택하시면 성능이 좋아지는데, 제 컴퓨터는 GPU와 RAM이 부족하여 동작하지 않습니다. 그래도 선택할 수는 있습니다. 7.6G로는 동작하지 않을 것이므로 작은 모델로 선택해봅시다. 리소스와 메모리가 충분한 분들은 큰 모델로 선택하셔도 좋겠습니다. 그러면 CPU와 N으로 실행해봅시다. 다운로드까지 완료하면 로컬에서 큰 언어 모델의 인터페이스 패키지가 없다는 메시지가 나옵니다. 그래서 설치해야 동작합니다. 그대로 '인스톨'을 눌러주세요. 오류가 발생했는데, 한 번 종료하고 관리자 권한으로 실행해볼까요? 조금 위험하지만 일단 이렇게 해주시면... 일단 다시 실행하고 OpenAI의 API 키가 없다는 메시지가 나올텐데, 이번에는 같은 동작입니다. 13B로 선택해도 역시 그렇습니다. 조금 아쉽지만 스몰로 선택하고 진행합시다. 진행 중 다운로드가 시작되었습니다. 자동으로 진행해주는 기능이 정말 멋지네요. 이정도면 끝이네요. 다음은 로컬에서 랜드 인터페이스 패키지가 없다고 나오네요. 그래서 쓸 만하면 앉아도 움직이지 않는다는 의미로 스몰로 선택해봅시다. 그럼 다운로드를 시작해볼까요? 이 부분은 자동으로 진행되니 걱정하지 마세요.

What is an Open Interpreter?

An Open Interpreter is a code interpreter that runs locally and is open-source. It acts as an interpreter for OpenAI's GPT chatbot, allowing users to submit code requests, execute them, and receive the processed output. This enables users to run GPT models locally without relying on OpenAI's API. The Open Interpreter provides a convenient way for developers to experiment with GPT-powered applications and make use of the powerful language model's capabilities.

Installing the Open Interpreter

To install the Open Interpreter, You can use pip installation. This can be done by running the following command:

pip install open-interpreter

Make sure you have the Open Interpreter already installed before proceeding further. If you have not installed it yet, please follow the pip installation method Mentioned above.

Using the Open Interpreter

Once you have the Open Interpreter installed, you can run it by executing the following command in your terminal:

interpreter

After running the interpreter, you will see the prompt "Welcome to Your Pinterpreter." If you intend to use GPT4, you will be prompted to enter your OpenAI API Key. For now, we will assume you want to use the free version, but please note that it may not perform as well. However, it is still usable. If you have an OpenAI API key, you can enter it to use the full functionality. But for the purpose of this guide, we will Continue without the API key since it is not required.

Choosing Parameters

The Open Interpreter allows you to choose parameters for the language model you wish to use. The number of parameters determines the size of the model and generally correlates with its performance. Choosing a larger model will result in better quality output, but it may require more resources. To select the parameters, simply follow the Prompts provided by the interpreter.

Running the Interpreter

To execute the interpreter and start using GPT4, run the command specified by the interpreter. This will initialize the GPT model and allow you to Interact with it. You can now start making requests to the GPT-powered chatbot and receive responses Based on the code you provide.

Troubleshooting and Alternative Solutions

Docker Option

If you encounter any issues with installing or running the Open Interpreter locally, there is an alternative solution using Docker. Docker provides a containerized environment that can be easily set up and run without worrying about compatibility issues. By using the Open Interpreter Docker image, you can run the interpreter without the need for manual installations.

To use the Docker option, you can follow the steps below:

1. Clone the Open Interpreter Docker repository.
2. Build the Docker image.
3. Run the Docker container.

By following these steps, you can set up and run the Open Interpreter in a Docker environment, which should help mitigate any installation or compatibility issues.

Troubleshooting Installation Issues

If you encounter any issues during the installation process, such as failed builds or missing dependencies, there are a few possible solutions you can try:

1. Make sure you have the latest version of Python installed.
2. Check that you have the necessary permissions to install packages using pip.
3. Verify that you have an internet connection and can access the required repositories.
4. Double-check the installation instructions and ensure that you followed all the steps correctly.

If these troubleshooting steps do not resolve the installation issues, it is recommended to Seek further assistance or consult the official Open Interpreter documentation for more detailed instructions.

Switching to GPT4

To switch from the Open Interpreter to GPT4, you will need to have an OpenAI API key. With the API key, you can unlock the full capabilities of GPT4 and access its advanced features. If you already have an API key, you can proceed to enter it when prompted by the interpreter. If not, you can still continue using the Open Interpreter without GPT4 by selecting the appropriate options provided.

Using GPT4 API Key

If you have an OpenAI API key, you can enter it when prompted by the interpreter. The API key allows you to authenticate and access the GPT4 models provided by OpenAI. Once you have entered the API key, the interpreter will use it to make requests to the GPT4 API and leverage its enhanced language generation capabilities.

To use the GPT4 API key, follow the instructions given by the interpreter and enter your API key when prompted.

Running GPT4 Interpreter

After entering the GPT4 API key, you can run the GPT4 interpreter by executing the designated command provided by the interpreter. This will initialize the GPT4 model and allow you to interact with it. You can now make requests and receive responses generated by the powerful GPT4 language model.

Web Scraping with the Open Interpreter

The Open Interpreter can also be used for web scraping tasks, such as extracting information from websites. In this section, we will explore how to scrape Yahoo News using the Open Interpreter. Specifically, we will retrieve the headlines and URLs of the main news articles.

To scrape Yahoo News, follow the steps below:

1. Access the Yahoo News Website.
2. Retrieve the list of main news articles.
3. Extract the titles and corresponding URLs.
4. Display the extracted information.

By following these steps and using the Open Interpreter, you can scrape Yahoo News and obtain the desired information from the website.

Searching for AI News with Google

In addition to web scraping, the Open Interpreter can also be used to search for AI-related news using Google. In this section, we will perform a search for the latest AI news and retrieve summaries of the top search results.

To search for AI news using Google, follow the steps below:

1. Perform a search query using Google.
2. Access the search results page.
3. Extract the article summaries.
4. Display the extracted summaries.

By using the Open Interpreter and the Google search functionality, you can easily retrieve and summarize the latest AI news articles.

Creating a Simple Game with the Open Interpreter

The Open Interpreter can also be used to Create simple games. In this section, we will demonstrate how to create a basic game using the Pygame library. We will implement a Tetris clone as an example.

To create a simple game with the Open Interpreter, follow the steps below:

1. Install the Pygame library (if not already installed).
2. Implement the game logic for Tetris.
3. Implement the graphics for the game.
4. Implement the game's main loop.

By following these steps and using the Open Interpreter, you can create a simple game such as a Tetris clone. This demonstrates the versatility of the Open Interpreter and its ability to be used for various applications.

Conclusion

In this guide, we explored the Open Interpreter and its capabilities. We learned how to install and use the Open Interpreter, including running GPT4 models and performing various tasks such as web scraping, news searching, and game creation. Although there were some limitations and unexpected issues along the way, the Open Interpreter provided a powerful tool for running language models locally and experimenting with GPT-powered applications. With further development and improvements, the Open Interpreter has the potential to become an indispensable tool for developers and AI enthusiasts.

FAQ

Q: Can I use the Open Interpreter without an OpenAI API key? A: Yes, you can use the Open Interpreter without an API key by selecting the appropriate options. However, some features and capabilities may be limited compared to using GPT4 with an API key.

Q: Can I run larger models with the Open Interpreter? A: Yes, you can choose larger models with more parameters for better performance. However, it is important to ensure that your system has enough resources (e.g., GPU and RAM) to handle the larger models.

Q: How can I troubleshoot installation issues with the Open Interpreter? A: If you encounter any installation issues, make sure you have the latest version of Python installed and check that you have the necessary permissions to install packages using pip. It is also recommended to follow the installation instructions carefully and verify that you have a stable internet connection.

Q: Are there any alternative solutions to running the Open Interpreter? A: If you are experiencing difficulties with the Open Interpreter, you can consider using Docker as an alternative solution. Docker provides a containerized environment that can help mitigate compatibility issues and simplify the installation process.

Q: Can I create more complex games with the Open Interpreter? A: Yes, the Open Interpreter can be used to create more complex games by leveraging additional libraries and implementing more advanced game logic. The Pygame library used in the example can be used as a starting point for creating various types of games.

Q: How can I contribute to the development of the Open Interpreter? A: If you are interested in contributing to the development of the Open Interpreter, you can join the project's GitHub repository and contribute by submitting bug reports, feature requests, or even pull requests to help improve the codebase and functionality of the Open Interpreter.