Learn how to use AI in OBS for real-time caption translation!

Table of Contents:

1. Introduction
2. Obtaining OpenAI API Keys
3. Setting up the URL API Source in OBS
4. Parsing the OpenAI Response
5. Setting up Local Vocal
6. Setting up the Dynamic Input on the URL API Source
7. Using Prompt Templates for Language Translation
8. Adding Output to Another Text Source
9. Multilingual Caption View
10. Conclusion

Integrating Chat GPT and LLMS into OBS: A Step-by-Step Tutorial

Introduction

Welcome to this tutorial on how to bring Chat GPT and LLMS into OBS using the Local Vocal Speech Transcription Plugin and the URL API Source Plugin. In this video, we will walk through the entire process, step by step, so You can integrate these powerful tools into your live streams or recordings.

Obtaining OpenAI API Keys

Before diving into the integration process, you will need to obtain OpenAI API keys if you haven't already. Visit the OpenAI Website and Create an account. Once you're logged in, generate your API keys and keep them safe and secure, as they are essential for these types of integrations.

Setting up the URL API Source in OBS

In OBS, let's set up the URL API Source with your API keys. Hit the plus button in the resources panel and select URL Source. Name it "Chat GPT". Go to the OpenAI API reference and look for the example for create completions. This will have the URL that we need to use, as well as the headers and the proper JSON body that we need. Copy the URL, paste it in the URL box of the URL API Source, set the method to POST, and add the necessary headers.

Parsing the OpenAI Response

Once the URL API Source is set up, we need to parse the OpenAI response. To do this, click the test button and observe the response. Determine the JSON pointer for obtaining the desired output. In this case, we see an array called "choices" with a "text" value. Use the JSON pointer "choices[0].text" to extract the parsed output successfully.

Setting up Local Vocal

The next step is to download and install the Local Vocal plugin if you haven't already. Select your audio source and click on the filters. Add the Local Vocal Transcription filter and configure it according to your needs. For example, you can choose the language and model. Set the output to a OBS text source to capture the transcriptions.

Setting up the Dynamic Input on the URL API Source

Now, let's set up the dynamic input on the URL API Source to inject the transcriptions into the OpenAI request. Use a prompt template to ask OpenAI to translate the transcriptions into the desired language. In the source settings, select the text choice created by the Local Vocal output as the input for the dynamic source. Also, enable the options to skip empty and skip same.

Using Prompt Templates for Language Translation

To specify the translation language in the OpenAI request, modify the JSON body in the post section of the URL API Source. Replace the placeholder text with something like "Translate this English text to German" in curly brackets. The input in curly brackets will be replaced by the output from the subtitles text source.

Adding Output to Another Text Source

If desired, you can add another text source to display the OpenAI output separately. This provides more flexibility in displaying the Captions. Set up another text source in OBS and send the OpenAI output to it. You can then hide the original text source or keep it for multilingual options.

Multilingual Caption View

By using the additional text source, you can have a multilingual caption view. This allows you to cater to viewers who may prefer different languages. You can switch between caption sources to display the captions in the desired language.

Conclusion

Congratulations! You have successfully integrated Chat GPT and LLMS into OBS using the Local Vocal Speech Transcription Plugin and the URL API Source Plugin. Now, you have the power to add real-time translation to your live streams or recordings. Explore the possibilities of using AI in your streams, such as summarizing on the fly and suggesting questions for your guests or viewers.

Highlights:

• Learn how to integrate Chat GPT and LLMS into OBS
• Utilize the Local Vocal Speech Transcription Plugin and the URL API Source Plugin
• Obtain OpenAI API keys for the integration process
• Set up the URL API Source with the necessary headers and JSON body
• Parse the OpenAI response for the desired output
• Set up the Local Vocal plugin for audio transcription
• Use dynamic input to inject transcriptions into the OpenAI request
• Customize prompt templates for language translation
• Add output to another text source for more flexibility in caption display
• Create a multilingual caption view to cater to diverse viewers

FAQ: Q: Can I use this integration for real-time translation in my live streams? A: Yes, the integration allows you to add real-time translation to your live streams using Chat GPT and LLMS.

Q: How do I obtain the OpenAI API keys? A: You can obtain the OpenAI API keys by creating an account on the OpenAI website and generating the keys from your account settings.

Q: Can I use different languages for translation? A: Yes, the integration supports translation into different languages. You can specify the desired translation language in the OpenAI API request.

Q: Can I display the captions in multiple languages simultaneously? A: Yes, by adding another text source and configuring it to display the OpenAI output, you can have a multilingual caption view in your OBS setup.

Q: Are there any limitations to this integration? A: The limitations may depend on the capabilities of the Chat GPT and LLMS models and the usage limits set by OpenAI for your API keys. It is always recommended to refer to the official documentation and guidelines for the specific tools and services used in the integration.