with GPTZero: Detect AI and Hugging Face?
This endpoint takes in file(s) input and returns the model's result. See the documentation
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs
This endpoint takes in a single text input and runs AI detection. The document will be truncated to 50,000 characters. See the documentation
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs
This task is well known to translate text from one language to another. See the docs
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gptzero_detect_ai: {
type: "app",
app: "gptzero_detect_ai",
}
},
async run({steps, $}) {
const data = {
"document": `Pipedream is the fastest way to automate any process that connects APIs. Build and run workflows with code-level control when you need it, and no code when you don't.`,
"multilingual": `false`,
}
return await axios($, {
method: "post",
url: `https://api.gptzero.me/v2/predict/text`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
"x-api-key": `${this.gptzero_detect_ai.$auth.api_key}`,
},
data,
})
},
})
The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hugging_face: {
type: "app",
app: "hugging_face",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://huggingface.co/api/whoami-v2`,
headers: {
Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
},
})
},
})