with Adalo and Roboflow ?
Run inference on classification models hosted on Roboflow. See the documentation
Run inference on your object detection models hosted on Roboflow. See the documentation
Upload an image to a project on the Roboflow platform. See the documentation
The Adalo API allows for the creation and manipulation of database records in your Adalo apps. Automating workflows with Pipedream can enhance your Adalo app's functionality, trigger custom actions based on app events, sync data across platforms, or notify users and team members about important updates. By leveraging Pipedream's ability to connect with hundreds of other apps, you can create sophisticated, multi-step workflows that respond dynamically to your Adalo app's data and events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adalo: {
type: "app",
app: "adalo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.adalo.com/v0/apps/${this.adalo.$auth.appId}/collections/${this.adalo.$auth.collection_id}`,
headers: {
Authorization: `Bearer ${this.adalo.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
The Roboflow API is a robust machine learning interface that allows developers to upload, annotate, train, and deploy computer vision models. Using Pipedream, you can create powerful, serverless workflows to automate tasks involving image and video processing. With the API, you can programmatically manage datasets, kick off model training, and utilize trained models to analyze new data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
roboflow: {
type: "app",
app: "roboflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.roboflow.com/`,
params: {
api_key: `${this.roboflow.$auth.api_key}`,
},
})
},
})