What do you want to automate
with Pocket and gpt-trainer?
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Popular Pocket and gpt-trainer Actions#
Create a chat session for a chatbot specified by chatbot UUID. See the documentation
Creates a new chatbot that belongs to the authenticated user. See the documentation
Create a session message for a chatbot session specified by session UUID. See the documentation
Save articles, videos, images and URLs to your Pocket list. See docs here
Overview of Pocket#
Pocket's API on Pipedream allows for the automation of content curation workflows. Users can add, retrieve, and organize articles, videos, or other content they want to view later. By leveraging the API, you can create systems for tagging and sorting saved items, integrating them with other services for further processing or sharing. This could be useful for content creators, researchers, or anyone needing to manage a large influx of information efficiently.
Connect Pocket#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pocket: {
type: "app",
app: "pocket",
}
},
async run({steps, $}) {
const pocketReq = {
method: "post",
url: "/v3/get",
data: {
count: 10,
access_token: this.pocket.$auth.oauth_access_token,
},
}
// proxy pocket request
return await axios($, {
url: "https://enkogw2a5epb176.m.pipedream.net",
params: {
http_respond: 1,
},
data: pocketReq,
})
},
})
Overview of gpt-trainer#
The gpt-trainer API is a tool designed to train, run, and manage custom GPT-2 and GPT-3 models. It provides endpoints for submitting training data, starting the training process, and generating text from the trained model. With Pipedream's serverless integration platform, you can automate workflows that interact with the gpt-trainer API. You can trigger workflows using webhooks, schedule them, or even run them in response to events from other apps. Integrate the gpt-trainer API with other services on Pipedream to create powerful applications such as automated content creation, personalized messaging, or AI-driven data analysis.
Connect gpt-trainer#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gpt_trainer: {
type: "app",
app: "gpt_trainer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.gpt-trainer.com/api/v1/chatbots`,
headers: {
Authorization: `Bearer ${this.gpt_trainer.$auth.api_key}`,
},
})
},
})
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