Top 10 FastAPI GitHub Repositories You Should Know

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Introduction

GitHub Copilot is an AI assistant for coding developed by GitHub. It utilizes machine learning models to generate code suggestions and assist developers in writing code faster and more efficiently. With its advanced capabilities, GitHub Copilot has become a valuable tool for many developers. However, there are limitations to its use, such as the associated costs when making API calls. In this article, we will explore an exciting workaround that allows you to leverage GPT-4 for free with GitHub Copilot through a GitHub repository called “copilot-gpt4-service”.

Understanding GitHub Copilot

GitHub Copilot is more than just a regular code autocompletion tool; it is a real coding assistant. It can generate code based on the context provided by the user, making it incredibly intuitive and helpful. Rather than relying solely on fixed code snippets, GitHub Copilot has been trained on a vast repository of public code to offer relevant and context-aware suggestions.

Additionally, GitHub recently introduced GitHub Copilot Chat Beta, which enables developers to communicate with GitHub Copilot through text or voice. This feature allows users to have interactive conversations with GitHub Copilot, making it an even more powerful tool for code generation and assistance.

Leveraging GPT-4 with Copilot through “copilot-gpt4-service” on GitHub

To leverage the power of GPT-4 with GitHub Copilot, we can turn to a code repository called “copilot-gpt4-service” on GitHub. This repository provides a workaround that allows users to utilize GPT-4 for free through GitHub Copilot. This is a significant advantage, as GPT-4 offers more advanced capabilities and improved performance compared to its predecessors.

To make use of GPT-4 for free, you will need to have a GitHub Copilot account. If you do not have one yet, you can sign up on the GitHub Copilot website and follow the instructions to get started.

Setting up the “copilot-gpt4-service” tool with Docker

Setting up the “copilot-gpt4-service” tool to leverage GPT-4 with GitHub Copilot is a straightforward process. It involves using Docker to create a local GPT-4 server. It’s important to note that this tool should only be used for personal purposes and not for any commercial or unauthorized use, as it may violate the terms of service and lead to potential consequences such as being banned.

To set up the “copilot-gpt4-service” tool with Docker, follow these steps:

1. Clone the “copilot-gpt4-service” repository from GitHub:

git clone https://github.com/tinder-dbox/copilot-gpt4-service.git

1. Navigate to the cloned repository:

cd copilot-gpt4-service

1. Build the Docker container:

docker build -t copilot-gpt4-service .

1. Run the Docker container:

docker run -p 5000:5000 copilot-gpt4-service

By following these steps, you will have the “copilot-gpt4-service” tool up and running locally, ready to be used with GitHub Copilot.

Obtaining the GitHub Copilot Plugin Token

To utilize the “copilot-gpt4-service” tool, you will need to obtain a GitHub Copilot Plugin Token. This token replaces the need for an OpenAI API key and enables GitHub Copilot to communicate with the GPT-4 server running locally. Here’s how you can obtain the token:

1. Visit the GitHub Copilot Plugin Token website here.
2. Click on the “Generate New Token” button.
3. You will be prompted to log in to your GitHub account if you haven’t done so already.
4. Once logged in, the GitHub Copilot Plugin Token will be displayed. Make sure to copy and securely store this token as you will need it while using the “copilot-gpt4-service” tool.

Exploring the Use of GPT-4 with the copilot-gpt4-service tool

The “copilot-gpt4-service” tool allows you to take full advantage of GPT-4 when using GitHub Copilot. It enhances the capabilities of GitHub Copilot by utilizing the power of GPT-4 for generating code suggestions and assisting in code writing tasks.

To explore the use of GPT-4 with the “copilot-gpt4-service” tool, follow these steps:

1. Confirm that the GPT-4 model is being used. You can do this by running the following command:

curl http://localhost:5000/ping

If the response contains “GPT4”, it means the model being used is GPT-4.

1. Test if the GPT-4 model is working correctly by running the following command:

curl -X POST -H "Authorization: Bearer {YOUR_PLUGIN_TOKEN}" -H "Content-Type: application/json" -d '{"prompt": "What is the capital of Germany?"}' http://localhost:5000/completion

Replace {YOUR_PLUGIN_TOKEN} with the GitHub Copilot Plugin Token you obtained earlier. If the response contains a valid completion for the prompt, it means that GPT-4 is working correctly.

1. Extend the use of GPT-4 with the “copilot-gpt4-service” tool beyond code queries. You can ask GPT-4 general questions or seek help with various topics using the following command:

curl -X POST -H "Authorization: Bearer {YOUR_PLUGIN_TOKEN}" -H "Content-Type: application/json" -d '{"prompt": "What is the meaning of life?"}' http://localhost:5000/completion

Again, replace {YOUR_PLUGIN_TOKEN} with your GitHub Copilot Plugin Token. GPT-4 will generate a response based on its training and knowledge base.

It’s important to note that when deploying the GPT server on the internet, proper security configurations should be implemented to ensure that it is not accessible to unauthorized users.

Conclusion

GitHub Copilot is undoubtedly an exceptional tool for developers, allowing them to write code faster and more effectively. However, using the ChatGPT API for advanced code generation can be costly. With the help of the “copilot-gpt4-service” tool and GPT-4, you can leverage GitHub Copilot’s capabilities even further and enjoy the benefits of GPT-4 for free.

In this article, we explored the use of GPT-4 for free with GitHub Copilot through the “copilot-gpt4-service” tool. We discussed the setup process using Docker, obtaining the GitHub Copilot Plugin Token, and demonstrated how to test and utilize GPT-4. Remember, it’s crucial to use the tool responsibly and solely for personal purposes to avoid any potential risks or consequences.

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