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with Leap and Plasmic?
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Popular Leap and Plasmic Triggers#
Emit new event when a new image sample is created for a model. See the documentation
Emit new event when a new model is created. See the documentation
Emit new event when a new model version is created/queued for training. See the documentation
Popular Leap and Plasmic Actions#
Queues an image generation job and returns the job details. See the documentation
Creates a new custom model entity, which serves as a container that can be trained on custom images. See the documentation
Uploads image samples to a custom model. See the documentation
Overview of Leap#
The Leap API enables automated interactions with the Leap.ai platform, which focuses on matching users with optimal job opportunities based on skills and preferences. In Pipedream, you can harness this API to create workflows that streamline the job search process, manage and analyze job matching data, or even integrate with other platforms to enhance the job seeking experience. With Pipedream's serverless execution environment, you can trigger these workflows on a schedule, via webhooks, or in response to events from other apps.
Connect Leap#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leap: {
type: "app",
app: "leap",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tryleap.ai/api/v1/images/models`,
headers: {
Authorization: `Bearer ${this.leap.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
Overview of Plasmic#
The Plasmic API enables you to tap into the powerful visual design features of Plasmic within Pipedream workflows. With it, you can automate the fetching, updating, and publishing of Plasmic projects and their components. This opens up possibilities for dynamic content management, design collaboration automation, and streamlined deployment processes. You can use the Plasmic API to integrate with various services, trigger updates across platforms, or synchronize design changes in real-time.
Connect Plasmic#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
plasmic: {
type: "app",
app: "plasmic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://codegen.plasmic.app/api/v1/loader/html/preview/${this.plasmic.$auth.project_id}/{your_component_name}`,
headers: {
"x-plasmic-api-project-tokens": `${this.plasmic.$auth.project_id}:${this.plasmic.$auth.project_token}`,
},
})
},
})
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