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🧼 cleanup docs

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  1. README.md +17 -7
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  A LangChain implementation of the ChatGPT Code Interpreter.
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  Using CodeBoxes as backend for sandboxed python code execution.
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  [CodeBox](https://github.com/shroominic/codebox-api/tree/main) is the simplest cloud infrastructure for your LLM Apps.
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- You can run everything local using your own OpenAI API Key.
 
 
 
 
 
 
 
 
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  ## Installation
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  ```bash
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  pip install codeinterpreterapi
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  ```
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  if __name__ == "__main__":
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- import asyncio
 
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  asyncio.run(main())
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  ## Production
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  In case you want to deploy to production you can use the CodeBox API for easy scaling.
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- Please contact me if you want to use the CodeBox API in production.
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- Its currently in early development and not everything is automated yet.
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  ## Contributing
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@@ -73,6 +84,5 @@ Thanks!
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  ## Contact
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- You can contact me at [pleurae-berets.0u@icloud.com](mailto:pleurae-berets.0u@icloud.com)
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- Sorry for the weird email address but I don't want to get spammed so I can deactivate it if necessary.
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- But you can also contact me on [Twitter](https://twitter.com/shroominic) or [Discord](https://gptassistant.app/community).
 
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  A LangChain implementation of the ChatGPT Code Interpreter.
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  Using CodeBoxes as backend for sandboxed python code execution.
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  [CodeBox](https://github.com/shroominic/codebox-api/tree/main) is the simplest cloud infrastructure for your LLM Apps.
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+ You can run everything local except the LLM using your own OpenAI API Key.
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+
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+ ## Features
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+
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+ - Dataset Analysis, Stock Charting, Image Manipulation, ....
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+ - Internet access and auto Python package installation
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+ - Input `text + files` -> Receive `text + files`
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+ - Run everything local except the OpenAI API (OpenOrca or others coming soon)
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+ - Use CodeBox API for easy scaling in production (coming soon)
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  ## Installation
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+ Get your OpenAI API Key [here](https://platform.openai.com/account/api-keys) and install the package.
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+
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  ```bash
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  pip install codeinterpreterapi
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  ```
 
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  if __name__ == "__main__":
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+ import asyncio, os
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+ os.environ["OPENAI_API_KEY"] = "sk-*********" # or .env file
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  asyncio.run(main())
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  ## Production
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  In case you want to deploy to production you can use the CodeBox API for easy scaling.
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+
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+ Please contact me if you interested in this, because it's still in early development.
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  ## Contributing
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  ## Contact
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+ You can contact me at [contact@shroominic.com](mailto:contact@shroominic.com).
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+ But I prefer to use [Twitter](https://twitter.com/shroominic) or [Discord](https://gptassistant.app/community) DMs.