with Fly.io and Roboflow ?
Emit new event when a new event is created in Fly.io. See the documentation
Create an app with the specified details in the request body. See the documentation
Run inference on classification models hosted on Roboflow. See the documentation
Create a machine within a specific app using the details provided in the request body. See the documentation
Run inference on your object detection models hosted on Roboflow. See the documentation
Create a volume for a specific app using the details provided in the request body. See the documentation
Fly.io is a platform that allows you to run full-stack apps and databases close to your users globally. The Fly.io API enables developers to manage applications, handle deployments, and scale their services dynamically. Using the Fly.io API with Pipedream provides a seamless way to automate these operations, integrate with other services, and enhance serverless workflow capabilities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fly_io: {
type: "app",
app: "fly_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.machines.dev/v1/apps`,
headers: {
Authorization: `Bearer ${this.fly_io.$auth.access_token}`,
},
params: {
org_slug: `${this.fly_io.$auth.org_slug}`,
},
})
},
})
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}`,
},
})
},
})