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Use declarative secrets and quick resume to simplify onboarding #5

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8e2a8ac
Use declarative secrets and quick resume to simplify onboarding
bdmac Mar 21, 2023
ba7444e
Update README.md
bdmac Mar 21, 2023
75c4a6c
Fix secret name
bdmac Mar 22, 2023
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6 changes: 6 additions & 0 deletions .devcontainer/devcontainer.json
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Original file line number Diff line number Diff line change
@@ -1,4 +1,10 @@
{
"secrets": {
"OPENAPI_API_KEY": {
"description": "In order to interact with GPT-3, you'll need to create an account with OpenAPI and generate an API key that LangChain can use.",
"documentationUrl": "https://openai.com/api/"
}
},
"customizations": {
"vscode": {
"extensions": ["ms-python.python", "ms-toolsai.jupyter"]
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10 changes: 2 additions & 8 deletions README.md
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Expand Up @@ -6,15 +6,9 @@ This template provides a one-click dev environment for building "LLM apps" with

## Getting Started

1. Create a repo from this template, by clicking the green `Use this template` button, and selecting `Create a new repository`. Name the repo whatever you'd like 👍
1. Create a codespace for this template.

<img width="150px" src="https://user-images.githubusercontent.com/116461/214456882-1821146a-5d10-4571-b55f-69254800776f.png" />

1. In order to interact with GPT-3, you'll need to create an account with [OpenAI](https://openai.com/api/), and generate an API key that LangChain can use. Once you have that, create a new [Codespaces repo secret](https://docs.github.com/en/codespaces/managing-codespaces-for-your-organization/managing-encrypted-secrets-for-your-repository-and-organization-for-github-codespaces#adding-secrets-for-a-repository) named `OPENAI_API_KEY`, and set it to the value of your API key.

1. Open your new repo in a Codespace by clicking the green `Code` button on the repo's homepage, and selecting `Create codespace on main`

<img width="300px" src="https://user-images.githubusercontent.com/116461/214457831-28778e80-d314-4c7c-a199-948d5d9828e9.png" />
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/lostintangent/codespaces-langchain?resume=1)

1. Once you're within the web editor, simply open any of the notebooks within the `/examples` folder, and select `Run All` in the notebook's toolbar. From there, you can change any of the prompts and/or code, and then re-run the cell/notebook, in order to get a better intuition for how LangChain can help you build your own custom chains 🚀

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