with Google Docs and FlowiseAI?
Emit new event when a new document is created in Google Docs. See the documentation
Emit new event when a document is created or updated in Google Docs. See the documentation
Calculates an output based on your created flow in Flowise. See the documentation
Appends an image to the end of a document. See the documentation
Create a new Google Docs file from a template. Optionally include placeholders in the template document that will get replaced from this action. See documentation
The Google Docs API allows you to create, read, and update Google Docs programmatically, enabling a wide range of automations and integrations with other apps and services. With Pipedream, you can harness this API to craft custom serverless workflows that trigger on various events, like form submissions, emails, or scheduled times, and perform actions like updating a document, extracting content, or even generating templated reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_docs: {
type: "app",
app: "google_docs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/drive/v3/about?fields=user`,
headers: {
Authorization: `Bearer ${this.google_docs.$auth.oauth_access_token}`,
},
})
},
})
The FlowiseAI API offers powerful AI-driven capabilities to enhance data with smart predictions and insights. In Pipedream, you can leverage this API to automate tasks, analyze large sets of data, and build intelligent workflows that respond to the AI's output. FlowiseAI can pair with various apps on Pipedream to enrich CRM data, optimize marketing campaigns, or streamline customer support processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flowiseai: {
type: "app",
app: "flowiseai",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://pipedreamtest.onrender.com/api/v1/prediction/{{your_chatflow_id}}`,
headers: {
Authorization: `Bearer ${this.flowiseai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: {
question: "{{your_prompt}}"
}
})
},
})