with LLMWhisperer and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
Convert your PDF/scanned documents to text format which can be used by LLMs. See the documentation
Get the status of the whisper process. This can be used to check the status of the conversion process when the conversion is done in async mode. See the documentation
Generate highlight locations for a search term in the document. See the documentation
Retrieve the extracted text executed through the whisper API. This can be used to retrieve the text of the conversion process when the conversion is done in async mode. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
llmwhisperer: {
type: "app",
app: "llmwhisperer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://llmwhisperer-api.unstract.com/v1/get-usage-info`,
headers: {
"unstract-key": `${this.llmwhisperer.$auth.api_key}`,
},
})
},
})
The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinterest: {
type: "app",
app: "pinterest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinterest.com/v5/user_account`,
headers: {
Authorization: `Bearer ${this.pinterest.$auth.oauth_access_token}`,
},
})
},
})