with ChatBot and Google Vertex AI?
Emit new event for event received. Need to be configured in the ChatBot UI flow to emit events. See docs here
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Leverage the ChatBot API on Pipedream to automate conversations, streamline customer service, and connect chat functionality with various apps for rich, responsive interaction. With this API, you can programmatically send messages, manage chat histories, and implement chatbots that react to user input in real-time. By integrating with Pipedream, these capabilities can be augmented with thousands of apps, enabling seamless data flow and complex automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatbot: {
type: "app",
app: "chatbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.chatbot.com/stories`,
headers: {
Authorization: `Bearer ${this.chatbot.$auth.developer_access_token}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})