Create Prediction with Replicate API on New Newsletter Contact Created from Sitecreator.io API

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New Newsletter Contact Created from the Sitecreator.io API

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Create Prediction with the Replicate API

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Getting Started#

This integration creates a workflow with a Sitecreator.io trigger and Replicate action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Newsletter Contact Created trigger
1. Connect your Sitecreator.io account
2. Configure timer
3. Configure Site ID
Configure the Create Prediction action
1. Connect your Replicate account
2. Select a Collection Id
3. Select a Model Id
4. Select a Model Version
5. Configure Input
6. Optional- Configure Webhook
7. Optional- Select one or more Webhook Events Filter
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Newsletter Contact Created on Sitecreator.io

Description:Emit new event when a new newsletter contact is added to a website. [See the docs here](http://api-doc.sitecreator.io/#tag/Contact/operation/getLeads)

Version:0.0.1

Key:sitecreator_io-new-newsletter-contact-created

View on GitHub

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "sitecreator_io-new-newsletter-contact-created",
  name: "New Newsletter Contact Created",
  description: "Emit new event when a new newsletter contact is added to a website. [See the docs here](http://api-doc.sitecreator.io/#tag/Contact/operation/getLeads)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    async getResources() {
      return this.sitecreator.getNewsletter({
        data: {
          siteId: this.siteId,
        },
      });
    },
    generateMeta(contact) {
      return {
        id: contact.id,
        summary: `New Newsletter Contact ID ${contact.id}`,
        ts: Date.now(),
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Sitecreator.io	`sitecreator`	`app`	This component uses the Sitecreator.io app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Site ID	`siteId`	`string`	Identifier of a website. Present in the URL when editing your site from the Websites List page.

Trigger Authentication#

Sitecreator.io uses API keys for authentication. When you connect your Sitecreator.io account, Pipedream securely stores the keys so you can easily authenticate to Sitecreator.io APIs in both code and no-code steps.

To retrieve your API Key,

Navigate to your Sitecreator account and sign in
Go to “API”

About Sitecreator.io#

Sitecreator.io is an easy-to-use platform that allows you to quickly create a professional looking website.

Action#

Create Prediction on Replicate

Description:Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)

Version:0.0.1

Key:replicate-create-prediction

View on GitHub

Replicate Overview#

The Replicate API allows you to access a wide array of machine learning models for tasks such as image generation, text-to-image, and more. Using Pipedream, you can orchestrate these models to automate content creation, analyze media, or enhance data with AI-generated insights. Pipedream's serverless platform empowers you to create workflows that react to events, schedule tasks, and integrate with numerous other services, all harnessing the power of Replicate's AI models.

Action Code#

import replicate from "../../replicate.app.mjs";

export default {
  key: "replicate-create-prediction",
  name: "Create Prediction",
  version: "0.0.1",
  description: "Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)",
  type: "action",
  props: {
    replicate,
    collectionSlug: {
      propDefinition: [
        replicate,
        "collectionSlug",
      ],
    },
    modelId: {
      propDefinition: [
        replicate,
        "modelId",
        ({ collectionSlug }) => ({
          collectionSlug,
        }),
      ],
    },
    version: {
      propDefinition: [
        replicate,
        "modelVersion",
        ({ modelId }) => ({
          modelId,
        }),
      ],
    },
    input: {
      type: "string",
      label: "Input",
      description: "The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the \"Run with API\" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.",
    },
    webhook: {
      type: "string",
      label: "Webhook",
      description: "An HTTPS URL for receiving a webhook when the prediction has new output.",
      optional: true,
    },
    webhookEventsFilter: {
      type: "string[]",
      label: "Webhook Events Filter",
      description: "By default, we will send requests to your webhook URL whenever there are new logs, new outputs, or the prediction has finished. [See de documentartion here](https://replicate.com/docs/reference/http#predictions.create--webhook_events_filter) for more details.",
      options: [
        "start",
        "output",
        "logs",
        "completed",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      replicate,
      version,
      input,
      webhook,
      webhookEventsFilter,
    } = this;

    const response = await replicate.createPrediction({
      $,
      data: {
        version,
        input: JSON.parse(input),
        webhook,
        webhook_events_filter: webhookEventsFilter,
      },
    });

    $.export("$summary", `A new prediction with Id: ${response.id} was successfully created!`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Replicate	`replicate`	`app`	This component uses the Replicate app.
Collection Id	`collectionSlug`	`string`	Select a value from the drop down menu.
Model Id	`modelId`	`string`	Select a value from the drop down menu.
Model Version	`version`	`string`	Select a value from the drop down menu.
Input	`input`	`string`	The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the "Run with API" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.
Webhook	`webhook`	`string`	An HTTPS URL for receiving a webhook when the prediction has new output.
Webhook Events Filter	`webhookEventsFilter`	`string[]`	Select a value from the drop down menu:`startoutputlogscompleted`