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Update the documentations(Module.md, Package.md and README.md) and update Ballerina.toml
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## Overview | ||
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[//]: # (TODO: Add overview mentioning the purpose of the module, supported REST API versions, and other high-level details.) | ||
[OpenAI](https://openai.com/), an AI research organization focused on creating friendly AI for humanity, offers 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. | ||
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The `ballarinax/openai.finetunes` package offers APIs to connect and interact with [the fine-tuning related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/guides/fine-tuning) allowing users to customize OpenAI's AI models to meet specific needs. | ||
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## Setup guide | ||
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[//]: # (TODO: Add detailed steps to obtain credentials and configure the module.) | ||
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). | ||
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#### Create a OpenAI API Key | ||
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1. Open the [OpenAI Platform Dashboard](https://platform.openai.com). | ||
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2. Navigate to Dashboard -> API keys | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/navigate-api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;"> | ||
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3. Click on the "Create new secret key" button | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;"> | ||
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4. Fill the details and click on Create secret key | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/create-new-secret-key.png alt="OpenAI Platform" style="width: 70%;"> | ||
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5. Store the API key securely to use in your application | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/saved-key.png alt="OpenAI Platform" style="width: 70%;"> | ||
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## Quickstart | ||
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[//]: # (TODO: Add a quickstart guide to demonstrate a basic functionality of the module, including sample code snippets.) | ||
To use the `OpenAI Finetunes` connector in your Ballerina application, update the `.bal` file as follows: | ||
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### Step 1: Import the module | ||
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Import the `openai.finetunes` module. | ||
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```ballerina | ||
import ballerinax/openai.finetunes; | ||
import ballerina/io; | ||
``` | ||
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### Step 2: Instantiate a new connector | ||
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Create a `finetunes:ConnectionConfig` with the obtained API Key and initialize the connector. | ||
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```ballerina | ||
configurable string apiKey = ?; | ||
final finetunes:Client openAIFinetunes = check new({ | ||
auth: { | ||
token: apiKey | ||
} | ||
}); | ||
``` | ||
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### Step 3: Invoke the connector operation | ||
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Now, utilize the available connector operations. | ||
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**Note**: First, create a sample.jsonl file in the same directory. This file should contain the training data formatted according to the guidelines provided [here](https://platform.openai.com/docs/api-reference/files/create). | ||
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#### Fine tuning the gpt-3.5-turbo model | ||
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```ballerina | ||
public function main() returns error? { | ||
finetunes:CreateFileRequest req = { | ||
file: {fileContent: check io:fileReadBytes("sample.jsonl"), fileName: "sample.jsonl"}, | ||
purpose: "fine-tune" | ||
}; | ||
finetunes:OpenAIFile fileRes = check openaiFinetunes->/files.post(req); | ||
string fileId = fileRes.id; | ||
CreateFineTuningJobRequest fineTuneRequest = { | ||
model: "gpt-3.5-turbo", | ||
training_file: fileId | ||
}; | ||
FineTuningJob fineTuneResponse = | ||
check openaiFinetunes->/fine_tuning/jobs.post(fineTuneRequest); | ||
} | ||
``` | ||
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### Step 4: Run the Ballerina application | ||
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```bash | ||
bal run | ||
``` | ||
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## Examples | ||
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The `OpenAI Finetunes` connector provides practical examples illustrating usage in various scenarios. Explore these [examples](https://github.com/module-ballerinax-openai.finetunes/tree/main/examples/), covering the following use cases: | ||
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[//]: # (TODO: Add examples) | ||
[//]: # (TODO: Add examples) |
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Original file line number | Diff line number | Diff line change |
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@@ -1,17 +1,95 @@ | ||
|
||
## Overview | ||
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||
[//]: # (TODO: Add overview mentioning the purpose of the module, supported REST API versions, and other high-level details.) | ||
[OpenAI](https://openai.com/), an AI research organization focused on creating friendly AI for humanity, offers 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.finetunes` package offers APIs to connect and interact with [the fine-tuning related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/guides/fine-tuning) allowing users to customize OpenAI's AI models to meet specific needs. | ||
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## Setup guide | ||
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[//]: # (TODO: Add detailed steps to obtain credentials and configure the module.) | ||
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 | ||
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||
1. Open the [OpenAI Platform Dashboard](https://platform.openai.com). | ||
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||
2. Navigate to Dashboard -> API keys | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/navigate-api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;"> | ||
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3. Click on the "Create new secret key" button | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;"> | ||
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4. Fill the details and click on Create secret key | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/create-new-secret-key.png alt="OpenAI Platform" style="width: 70%;"> | ||
|
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5. Store the API key securely to use in your application | ||
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/saved-key.png alt="OpenAI Platform" style="width: 70%;"> | ||
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## Quickstart | ||
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||
[//]: # (TODO: Add a quickstart guide to demonstrate a basic functionality of the module, including sample code snippets.) | ||
To use the `OpenAI Finetunes` connector in your Ballerina application, update the `.bal` file as follows: | ||
|
||
### Step 1: Import the module | ||
|
||
Import the `openai.finetunes` module. | ||
|
||
```ballerina | ||
import ballerinax/openai.finetunes; | ||
import ballerina/io; | ||
``` | ||
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### Step 2: Instantiate a new connector | ||
|
||
Create a `finetunes:ConnectionConfig` with the obtained API Key and initialize the connector. | ||
|
||
```ballerina | ||
configurable string apiKey = ?; | ||
final finetunes:Client openAIFinetunes = check new({ | ||
auth: { | ||
token: apiKey | ||
} | ||
}); | ||
``` | ||
|
||
### Step 3: Invoke the connector operation | ||
|
||
Now, utilize the available connector operations. | ||
|
||
**Note**: First, create a sample.jsonl file in the same directory. This file should contain the training data formatted according to the guidelines provided [here](https://platform.openai.com/docs/api-reference/files/create). | ||
|
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#### Fine tuning the gpt-3.5-turbo model | ||
|
||
```ballerina | ||
public function main() returns error? { | ||
finetunes:CreateFileRequest req = { | ||
file: {fileContent: check io:fileReadBytes("sample.jsonl"), fileName: "sample.jsonl"}, | ||
purpose: "fine-tune" | ||
}; | ||
finetunes:OpenAIFile fileRes = check openaiFinetunes->/files.post(req); | ||
string fileId = fileRes.id; | ||
CreateFineTuningJobRequest fineTuneRequest = { | ||
model: "gpt-3.5-turbo", | ||
training_file: fileId | ||
}; | ||
FineTuningJob fineTuneResponse = | ||
check openaiFinetunes->/fine_tuning/jobs.post(fineTuneRequest); | ||
} | ||
``` | ||
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### Step 4: Run the Ballerina application | ||
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```bash | ||
bal run | ||
``` | ||
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## Examples | ||
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The `OpenAI Finetunes` connector provides practical examples illustrating usage in various scenarios. Explore these [examples](https://github.com/module-ballerinax-openai.finetunes/tree/main/examples/), covering the following use cases: | ||
|
||
[//]: # (TODO: Add examples) | ||
[//]: # (TODO: Add examples) |
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