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https://github.com/ballerina-platform/module-ballerinax-openai.audio


https://github.com/ballerina-platform/module-ballerinax-openai.audio

ai audio ballerina openai whisper

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# Ballerina OpenAI Audio connector

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## Overview

[OpenAI](https://openai.com/), a leading AI research organization focused on creating friendly AI for humanity, provides the [OpenAI API](https://platform.openai.com/docs/api-reference/introduction) to access its powerful AI models for tasks like natural language processing and image generation.

The `ballarinax/openai.audio` package offers APIs to connect and interact with [audio related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/api-reference/audio/create) providing access to various models developed by OpenAI for audio-related tasks.

## Setup guide

To use the OpenAI Connector, you must have access to the OpenAI API through a [OpenAI Platform account](https://platform.openai.com) and a project under it. If you do not have a OpenAI Platform account, you can sign up for one [here](https://platform.openai.com/signup).

#### Create a OpenAI API Key

1. Open the [OpenAI Platform Dashboard](https://platform.openai.com).

2. Navigate to Dashboard -> API keys
OpenAI Platform

3. Click on the "Create new secret key" button
OpenAI Platform

4. Fill the details and click on Create secret key
OpenAI Platform

5. Store the API key securely to use in your application
OpenAI Platform

## Quickstart

To use the `OpenAI Audio` connector in your Ballerina application, update the `.bal` file as follows:

### Step 1: Import the module

Import the `openai.audio` module.

```ballerina
import ballerinax/openai.audio;
```

### Step 2: Instantiate a new connector

Create a `audio:ConnectionConfig` with the obtained API Key and initialize the connector.

```ballerina
configurable string token = ?;

final images:Client openAIAudio = check new ({
auth: {
token
}
});
```

### Step 3: Invoke the connector operation

Now, utilize the available connector operations.

#### Transcribe audio into input language
```ballerina
public function main(string fileName) returns error? {
byte[] fileContent = check io:fileReadBytes(fileName);
audio:CreateTranscriptionRequest request = {
model: "whisper-1",
file: {fileContent, fileName}
};

audio:CreateTranscriptionResponse response =
check OpenAIAudio->/audio/transcriptions.post(request);
}
```

### Step 4: Run the Ballerina application

```bash
bal run
```

## Examples

The `OpenAI Audio` connector provides practical examples illustrating usage in various scenarios. Explore these [examples](https://github.com/module-ballerinax-openai.audio/tree/main/examples/), covering the following use cases:

1. [International news translator](https://github.com/ballerina-platform/module-ballerinax-openai.audio/tree/main/examples/international-news-translator) - Converts a text news given in any language to english
2. [Meeting transcriber and translator](https://github.com/ballerina-platform/module-ballerinax-openai.audio/tree/main/examples/meeting-transcriber-and-translator) - Converts an audio given in a different language into text in input language and english

## Build from the source

### Setting up the prerequisites

1. Download and install Java SE Development Kit (JDK) version 17. You can download it from either of the following sources:

* [Oracle JDK](https://www.oracle.com/java/technologies/downloads/)
* [OpenJDK](https://adoptium.net/)

> **Note:** After installation, remember to set the `JAVA_HOME` environment variable to the directory where JDK was installed.

2. Download and install [Ballerina Swan Lake](https://ballerina.io/).

3. Download and install [Docker](https://www.docker.com/get-started).

> **Note**: Ensure that the Docker daemon is running before executing any tests.

4. Export Github Personal access token with read package permissions as follows,

```bash
export packageUser=
export packagePAT=
```

### Build options

Execute the commands below to build from the source.

1. To build the package:

```bash
./gradlew clean build
```

2. To run the tests:

```bash
./gradlew clean test
```

3. To build the without the tests:

```bash
./gradlew clean build -x test
```

4. To run tests against different environments:

```bash
./gradlew clean test -Pgroups=
```

5. To debug the package with a remote debugger:

```bash
./gradlew clean build -Pdebug=
```

6. To debug with the Ballerina language:

```bash
./gradlew clean build -PbalJavaDebug=
```

7. Publish the generated artifacts to the local Ballerina Central repository:

```bash
./gradlew clean build -PpublishToLocalCentral=true
```

8. Publish the generated artifacts to the Ballerina Central repository:

```bash
./gradlew clean build -PpublishToCentral=true
```

## Contribute to Ballerina

As an open-source project, Ballerina welcomes contributions from the community.

For more information, go to the [contribution guidelines](https://github.com/ballerina-platform/ballerina-lang/blob/master/CONTRIBUTING.md).

## Code of conduct

All the contributors are encouraged to read the [Ballerina Code of Conduct](https://ballerina.io/code-of-conduct).

## Useful links

* For more information go to the [`openai.audio` package](https://central.ballerina.io/ballerinax/openai.audio/latest).
* For example demonstrations of the usage, go to [Ballerina By Examples](https://ballerina.io/learn/by-example/).
* Chat live with us via our [Discord server](https://discord.gg/ballerinalang).
* Post all technical questions on Stack Overflow with the [#ballerina](https://stackoverflow.com/questions/tagged/ballerina) tag.