with Metabase and gpt-trainer?
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
The Metabase API opens a gateway to interact with Metabase programmatically, enabling you to automate reporting, dashboards, and data analysis operations. With Pipedream, you can harness this API to trigger workflows, manipulate data, and integrate with various other apps to create a seamless data ecosystem. Think of syncing Metabase insights with other tools, automating report generation, or reacting to events within your Metabase instance in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metabase: {
type: "app",
app: "metabase",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.metabase.$auth.server_address}/api/user/current`,
headers: {
"x-api-key": `${this.metabase.$auth.api_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}`,
},
})
},
})