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https://github.com/AssemblyAI/assemblyai-semantic-kernel
Transcribe audio using AssemblyAI with Semantic Kernel plugins.
https://github.com/AssemblyAI/assemblyai-semantic-kernel
ai assemblyai llm semantic-kernel transcribe
Last synced: 27 days ago
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Transcribe audio using AssemblyAI with Semantic Kernel plugins.
- Host: GitHub
- URL: https://github.com/AssemblyAI/assemblyai-semantic-kernel
- Owner: AssemblyAI
- License: mit
- Created: 2023-09-18T18:28:02.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-02-19T21:52:59.000Z (5 months ago)
- Last Synced: 2024-05-02T01:47:29.450Z (2 months ago)
- Topics: ai, assemblyai, llm, semantic-kernel, transcribe
- Language: C#
- Homepage:
- Size: 110 KB
- Stars: 5
- Watchers: 4
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-semantickernel - AssemblyAI plugins for Semantic Kernel
README
---
[](https://www.nuget.org/packages/AssemblyAI.SemanticKernel/)
[](https://github.com/AssemblyAI/assemblyai-semantic-kernel/actions/workflows/ci.yml)
[](https://github.com/AssemblyAI/assemblyai-semantic-kernel/blob/main/LICENSE)
[](https://twitter.com/AssemblyAI)
[](https://www.youtube.com/@AssemblyAI)
[
](https://discord.gg/5aQNZyq3)
# AssemblyAI integration for Semantic Kernel
Transcribe audio using AssemblyAI with Semantic Kernel plugins.
## Get started
Add the [AssemblyAI.SemanticKernel NuGet package](https://www.nuget.org/packages/AssemblyAI.SemanticKernel) to your project.
```bash
dotnet add package AssemblyAI.SemanticKernel
```
Next, register the `AssemblyAI` plugin into your kernel:
```csharp
using AssemblyAI.SemanticKernel;
using Microsoft.SemanticKernel;
// Build your kernel
var kernelBuilder = Kernel.CreateBuilder();
// add services like LLMs etc.
// Get AssemblyAI API key from env variables, or much better, from .NET configuration
string apiKey = Environment.GetEnvironmentVariable("ASSEMBLYAI_API_KEY")
?? throw new Exception("ASSEMBLYAI_API_KEY env variable not configured.");
kernelBuilder.AddAssemblyAIPlugin(new AssemblyAIPluginOptions
{
ApiKey = apiKey,
PluginName = null,
AllowFileSystemAccess = false
});
var kernel = kernelBuilder.Build();
```
You can configure three options:
- ApiKey: Configure the AssemblyAI API key
- PluginName: Configure the name of the plugin inside of Semantic Kernel. Defaults to `"AssemblyAIPlugin"`.
- AllowFileSystemAccess: Allow the plugin to read files from the file system to upload audio files for transcriptions. Defaults to `false`.
`kernelBuilder.AddAssemblyAIPlugin` has overloads to configure the plugin using configuration and through a lambda.
## Usage
Get the `Transcribe` function from the transcript plugin and invoke it with the context variables.
```csharp
var result = await kernel.InvokeAsync(
nameof(AssemblyAIPlugin),
AssemblyAIPlugin.TranscribeFunctionName,
new KernelArguments
{
["INPUT"] = "https://storage.googleapis.com/aai-docs-samples/espn.m4a"
}
);
Console.WriteLine(result);
```
You can also upload local audio and video file. To do this:
- Set the `AssemblyAIPluginOptions.AllowFileSystemAccess` to `true`.
- Configure the `INPUT` variable with a local file path.
```csharp
kernelBuilder.AddAssemblyAIPlugin(new AssemblyAIPluginOptions
{
ApiKey = apiKey,
AllowFileSystemAccess = true
});
...
var result = await kernel.InvokeAsync(
nameof(AssemblyAIPlugin),
AssemblyAIPlugin.TranscribeFunctionName,
new KernelArguments
{
["INPUT"] = "./espn.m4a"
}
);
Console.WriteLine(result);
```
You can also invoke the function from within a semantic function like this.
```csharp
const string prompt = """
Here is a transcript:
{{AssemblyAIPlugin.Transcribe "https://storage.googleapis.com/aai-docs-samples/espn.m4a"}}
---
Summarize the transcript.
""";
var result = await kernel.InvokePromptAsync(prompt);
Console.WriteLine(result);
```
All the code above explicitly invokes the transcript plugin, but it can also be invoked as part of a plan.
Check out [the Sample project](./src/Sample/Program.cs#L78)) which uses a plan to transcribe an audio file in addition to explicit invocation.
## Notes
- The AssemblyAI integration only supports Semantic Kernel with .NET at this moment.
If there's demand, we will extend support to other platforms, so let us know!
- Feel free to [file an issue](https://github.com/AssemblyAI/assemblyai-semantic-kernel/issues) in case of bugs or feature requests.