https://github.com/aaronpowell/hanselminutesbot

HanselminutesBot
https://github.com/aaronpowell/hanselminutesbot

Last synced: about 1 month ago
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HanselminutesBot

• Host: GitHub
• URL: https://github.com/aaronpowell/hanselminutesbot
• Owner: aaronpowell
• License: mit
• Created: 2023-12-18T23:13:28.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-14T05:41:16.000Z (11 months ago)
• Last Synced: 2024-11-30T13:58:03.602Z (about 1 month ago)
• Language: C#
• Size: 446 KB
• Stars: 8
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# .NET Aspire + Azure OpenAI demo app

Currently a WIP, best to ask me for how to run it locally, but here's the general idea:

- Create an Azure OpenAI resource with a `gpt-35-turbo` model and a `text-embedding-ada-002` model

- Create an Azure AI Speech resource (optional - disable by setting `Speech:Enabled` to `false` in `appsettings.json`)

- Create an `appsettings.Development.json` file in the AppHost project and populate the details from Azure Resources as per the empty ones in the `appsettings.json`

- Launch the app, navigate to the frontend -> management screen

- Wait for podcasts to load, choose the one(s) to index and click the **Index Selected Items** button

- Wait for a bunch of time (no UI progress, but you can click the "Retrieve Status" button to see the indexing status)

- Once indexing is done, go to the frontend `/` index, enter a prompt and see what happens