In this guide, we will walk through the process of uploading data sources to your chatbot using the GPT-trainer API.

Prerequisites

Before you begin, make sure you have the following:

  • An API key for accessing the GPT-trainer API.
  • A development environment or tool for making HTTP requests, such as Curl or a programming language like Python.

API Endpoint

The API endpoint for uploading data sources to your chatbot is: https://app.gpt-trainer.com/api/v1/chatbot/{uuid}/data-source/url.

Make sure to replace {uuid} with the UUID of your chatbot..

Request Body

To upload a data source, you need to send a POST request to the API endpoint with a JSON request body containing the URL of the data source. Here’s an example request body:

{
  "url": "https://example.com/data-source"
}
  • url (string, required): Provide the URL of the data source you want to upload.

Example Request

Here’re example command sto create a chatbot using the GPT-trainer API:

Replace token with your actual API key.
curl --location --request POST 'https://app.gpt-trainer.com/api/v1/chatbot/{uuid}/data-source/url' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <token>' \
--data-raw '{
  "url": "string"
}'

That’s it! You’ve now learned how to upload data sources to your chatbot using the GPT-trainer API.