Maximizing the Potential of OpenAI's Tools: Advanced Applications and Use Cases of ChatGPT, DALLE-2, and Whisper

In this blog post, we will explore the advanced applications and use cases of OpenAI’s cutting-edge tools: ChatGPT, DALLE-2, and Whisper. We will demonstrate how to use these tools in Google App Script, combining their powers to create even more innovative and interactive applications. Let’s dive in!

ChatGPT: Next-Level Conversational AI

ChatGPT is an advanced conversational AI model by OpenAI that provides highly accurate and context-aware responses. This powerful language model can be used for various applications, such as chatbots, content generation, and language translation.

Integrating ChatGPT in Google App Script

We can do this all within one function:

function chatGPTResponse(inputMessage) {  const apiKey = "ENTER API KEY HERE"  const headers = {        'Content-Type': 'application/json',
        'Authorization': 'Bearer ' + apiKey
      };
  const payload = {    'model':'gpt-3.5-turbo',    'prompt': inputMessage,
  };
   var options = {
        'method' : 'post',
        'headers' : headers,
        'payload' : JSON.stringify(payload)
      };

  const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", options);  const jsonResponse = JSON.parse(response.getContentText());
  const chatGPTResponse = jsonResponse['choices'][0]['message']['content']
  return chatGPTResponse;
}

Example Use Case: Language Translation

ChatGPT can be used for language translation. Let’s create a function that translates English text to French using ChatGPT.

function englishToFrenchTranslation(text) {
  const inputMessage = 'Translate the following English text to French: '+text;
  const translation = chatGPTResponse(inputMessage);
  return translation;
}

DALLE-2: Creating Art with AI

DALLE-2 is an advanced image synthesis model by OpenAI that can generate high-quality images from text descriptions. It can be used for various applications, including data visualization, art creation, and design.

function chatGPTResponse(inputMessage) {  const apiKey = "ENTER API KEY HERE"  const headers = {        'Content-Type': 'application/json',
        'Authorization': 'Bearer ' + apiKey
      };
  const payload = {    'model':'image-alpha-001',   'prompt': inputMessage,'num_images': 1,
'size': '512x512',
'response_format': 'url'  };
   var options = {
        'method' : 'post',
        'headers' : headers,
        'payload' : JSON.stringify(payload)
      };

  const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", options);  const jsonResponse = JSON.parse(response.getContentText());
  const chatGPTResponse = jsonResponse[0].url
  return chatGPTResponse;
}

Example Use Case: Generate a Chart

DALLE-2 can be used to generate charts from textual descriptions. Let’s create a function that generates a pie chart based on user input.

function generatePieChart(description) {
  const chartDescription = 'Generate a pie chart with the following description: '+description;
  const imageURL = generateImageURL(chartDescription);
  return imageURL;
}

Whisper: Unleashing the Power of Automatic Speech Recognition

Whisper is an Automatic Speech Recognition (ASR) system by OpenAI, which can convert spoken language into written text. This powerful tool can be used for various applications, such as transcription services, voice assistants, and language analysis.

Integrating Whisper in Google App Script

First, let’s integrate Whisper with Google App Script to create a speech-to-text function.

To do this, we need the Audio File ID (similar to how we would find a Folder ID located on Google Drive) and our OpenAI API Key.

function voiceAssistant(audioFileID) {
  var audioFile = DriveApp.getFileById(audioFileID)
  var openaiApiKey = "ENTER OPENAI KEY HERE"
  const audioBlob = audioFile.getBlob();
  const modelName = 'whisper-1';
  const apiEndpoint = 'https://api.openai.com/v1/audio/transcriptions';

  const boundary = '-------' + Utilities.getUuid();
  const requestBodyStart =
    '--' +
    boundary +
    '\r\n' +
    'Content-Disposition: form-data; name="model"\r\n\r\n' +
    modelName +
    '\r\n' +
    '--' +
    boundary +
    '\r\n' +
    'Content-Disposition: form-data; name="file"; filename="' +
    audioFile.getName() +
    '"\r\n' +
    'Content-Type: ' +
    audioBlob.getContentType() +
    '\r\n\r\n';
  const requestBodyEnd = '\r\n--' + boundary + '--';

  const requestBody = Utilities.newBlob(
    Utilities.newBlob(requestBodyStart).getBytes()
      .concat(audioBlob.getBytes())
      .concat(Utilities.newBlob(requestBodyEnd).getBytes())
  );

  const requestOptions = {
    method: 'POST',
    headers: {
      'Content-Type': 'multipart/form-data; boundary=' + boundary,
      'Authorization': 'Bearer ' + openaiApiKey,
    },
    payload: requestBody.getBytes(),
    muteHttpExceptions: true,
  };

  const response = UrlFetchApp.fetch(apiEndpoint, requestOptions);
  const jsonResponse = JSON.parse(response.getContentText());
  const transcription = jsonResponse['text'];

  return transcription
}

Example Use Case: Voice Assistant

Whisper can be used to create a voice assistant. Let’s create a function that takes an audio file URL, transcribes the spoken command, and responds using ChatGPT.

function voiceAssistant(audioFileID) {
  const command = transcribeAudioURL(audioURL);
  return command;
}

Conclusion

In this blog post, we have demonstrated how to use ChatGPT, DALLE-2, and Whisper in advanced applications and use cases. We integrated these powerful tools with Google App Script, showing how to create a chatbot, generate images, and convert speech to text. By combining the capabilities of these tools, you can create even more innovative and interactive applications.

Feel free to use the provided code snippets in your projects and take your applications to the next level using Open

AI’s cutting-edge technology. The possibilities are endless with these AI tools, so let your creativity run wild and explore new ways to use ChatGPT, DALLE-2, and Whisper in your applications.

For example, consider building a comprehensive AI-powered virtual assistant that can handle various tasks like managing your calendar, replying to emails, or even creating visual summaries of your documents. Another possible application could be an AI-based content management system that uses DALLE-2 to generate featured images based on article titles and summaries, while utilizing ChatGPT to recommend SEO-friendly tags and keywords.

Additionally, you could develop an advanced language learning platform that combines ChatGPT’s language translation capabilities with Whisper’s speech recognition to offer immersive and interactive language learning experiences. Or think about creating an AI-powered design tool that uses DALLE-2 for generating graphic designs based on user input while employing ChatGPT to suggest design improvements and creative ideas.

These examples are just the tip of the iceberg, and with AI technology rapidly evolving, we can only imagine the groundbreaking applications we will be able to build in the near future. We hope this blog post has inspired you to maximize the potential of OpenAI’s tools and create the next big innovation.