with Mailjet and gpt-trainer?
Create a chat session for a chatbot specified by chatbot UUID. See the documentation
Add a new unique contact to your global contact list and select its exclusion status. See the docs here
Creates a new chatbot that belongs to the authenticated user. See the documentation
Retrieve details for all contact lists - name, subscriber count, creation timestamp, deletion status. See the docs here
Create a session message for a chatbot session specified by session UUID. See the documentation
Mailjet's API offers the power to craft, send, and track emails with finesse. You can wield it to automate email sequences, synchronize email lists with your databases, and send transactional emails with personalized content. It's a playground for creating tailored email campaigns and dissecting campaign performance with rich analytics.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mailjet: {
type: "app",
app: "mailjet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.mailjet.com/v3/REST/contactslist`,
auth: {
username: `{{custom_fields.public_key}}`,
password: `${this.mailjet.$auth.secret_key}`,
},
})
},
})
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.
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}`,
},
})
},
})