Using my custom GPT on website and mobile apps

API
,
1

I have built 2 custom GPTs which are on the GPT store called Emotion Master and Motivation Master. Both are based on my proprietary Unified Theory of Emotions.
I’m not a techie.
Can I embed or call the GPTs in a website and mobile app? How? What else can I do to help people make use of it and perhaps monetise some day.

2

Unfortunately you cannot (for now).

Custom GPTs must remain in the ChatGPT interface (website). This is a highly requested feature though, so who knows what the future holds.

In the meantime you would need to create the conceptual equivalent Assistants, which requires an interface and dash of programming to accomplish

The good news is that there’s lots of these interfaces available, mostly for free. Try searching “OpenAI Assistants Interface GitHub” to get started.

You can also create an Assistant in the OpenAI playground here:

https://platform.openai.com/playground/chat

3 Likes
3

Thank you.

Can the assistant learn from the GPT? Because it took me time to train the GPTs.

BTW, I had asked ChatGPT itself if I can do it and it said and still says yes.

ChatGPT :Since you’re using the GPTs hosted on the OpenAI platform (like ChatGPT), you can integrate them into your website and mobile app using the OpenAI API. Here’s how you can do it specifically for the OpenAI platform:

1. Obtain API Keys:

  • API Access: Sign up for API access on OpenAI’s platform. Once you have access, you’ll be provided with an API key.
  • Usage Limits: Be aware of any usage limits or pricing associated with API calls.

2. Frontend Development:

  • Website:
    • Use HTML/CSS/JavaScript or frameworks like React to create the user interface.
    • Implement input fields where users can type their questions.
  • Mobile App:
    • Use a mobile framework like Flutter or React Native to develop the app.
    • Include text input fields for users to interact with the GPT.

3. Backend Integration:

  • API Requests:
    • When a user submits a question on the website or mobile app, your backend will capture this input.
    • Send a POST request to the OpenAI API with the user’s input, specifying the model you want to use (in this case, one of your custom GPTs).
    • Example API Request:
      import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
    model="your-custom-gpt-model-id",
    messages=[{"role": "user", "content": user_input}],
)

answer = response['choices'][0]['message']['content']
  • Response Handling:
    • The GPT will process the input and return a response.
    • Your backend will then send this response back to the frontend.

4. Frontend Response Display:

  • Website/Mobile App:
    • Capture the response from your backend.
    • Display the GPT’s response in the appropriate UI component (e.g., chat bubble, text box).

5. Security and Authentication:

  • API Key Security:
    • Store your OpenAI API key securely, preferably in environment variables, and never expose it in the frontend code.
  • Authentication:
    • Implement user authentication if necessary to control access to the GPT features.

6. Deployment:

  • Website: Deploy your website on a hosting platform like Vercel, Netlify, or any server that supports your tech stack.
  • Mobile App: Publish your app on the Google Play Store and Apple App Store.

7. Monitoring and Maintenance:

  • API Usage Monitoring: Regularly monitor your API usage through OpenAI’s dashboard to stay within limits and manage costs.
  • Error Handling: Implement robust error handling in your app to manage any issues with API requests or responses.

8. Testing:

  • End-to-End Testing: Test the full workflow from user input to GPT response on both the website and mobile app to ensure a smooth user experience.
  • Edge Cases: Test how the app handles various types of inputs and potential errors.

By following these steps, you can effectively integrate your custom GPTs from the OpenAI platform into both your website and mobile app, allowing users to interact with your models seamlessly.