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Update github-flow-getting-started.md (#16)

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Roydemilde
2024-03-25 10:14:23 +01:00
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docs/github-flow-getting-started.md
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@@ -8,7 +8,11 @@
### How do I setup the Github app?
- [Register a Github app](https://docs.github.com/en/apps/creating-github-apps/registering-a-github-app/registering-a-github-app), with the options listed above
- [Register a Github app](https://docs.github.com/en/apps/creating-github-apps/registering-a-github-app/registering-a-github-app), with the options listed below:
- Give your App a name and add a description
- Homepage URL: Can be anything (Example: repository URL)
- Add a dummy value for the webhook url, we'll come back to this setting
- Enter a webhook secret, which you'll need later on when filling in the `WebhookSecret` property in the `appsettings.json` file
- Setup the following permissions
- Repository
- Contents - read and write
@@ -19,8 +23,7 @@
- Issues
- Issue comment
- Allow this app to be installed by any user or organization
- Add a dummy value for the webhook url, we'll come back to this setting
- Enter a webhook secret, which you'll need later on when filling in the `WebhookSecret` property in the `appsettings.json` file
- After the app is created, generate a private key, we'll use it later for authentication to Github from the app
### Which labels should I create?
@@ -95,4 +98,4 @@ As the last step, we also need to [load the WAF into the vector DB](#load-the-wa
### Load the WAF into Qdrant.
If you are running the app locally, we have [Qdrant](https://qdrant.tech/) setup in the Codespace and if you are running in Azure, Qdrant is deployed to ACA.
The loader is a project in the `src\apps` folder, called `seed-memory`. We need to fill in the `appsettings.json` file in the `config` folder with the OpenAI details and the Qdrant endpoint, then just run the loader with `dotnet run` and you are ready to go.
The loader is a project in the `src\apps` folder, called `seed-memory`. We need to fill in the `appsettings.json` file in the `config` folder with the OpenAI details and the Qdrant endpoint, then just run the loader with `dotnet run` and you are ready to go.