Create business-critical documents like invoices, contracts, sales proposals, and work orders automatically.
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
Emit new event every time a run changes its status. See the documentation
The Chat API, using the gpt-3.5-turbo
or gpt-4
model. See the documentation
Summarizes text using the Chat API. See the documentation
Classify items into specific categories using the Chat API. See the documentation
Translate text from one language to another using the Chat API. See the documentation
Transcribes audio into the input language. See the documentation.
import fs from "fs";
import axios from "axios";
import {
ServicePrincipalCredentials,
PDFServices,
MimeType,
DocumentMergeParams,
OutputFormat,
DocumentMergeJob,
DocumentMergeResult
} from "@adobe/pdfservices-node-sdk";
export default defineComponent({
props: {
adobe_document_generation_api: {
type: "app",
app: "adobe_document_generation_api",
}
},
async run({steps, $}) {
// Configuration constants
const PDF_SERVICES_CLIENT_ID = this.adobe_document_generation_api.$auth.client_id;
const PDF_SERVICES_CLIENT_SECRET = this.adobe_document_generation_api.$auth.client_secret;
try {
// Initial setup, create credentials instance
const credentials = new ServicePrincipalCredentials({
clientId: PDF_SERVICES_CLIENT_ID,
clientSecret: PDF_SERVICES_CLIENT_SECRET
});
// Creates a PDF Services instance
const pdfServices = new PDFServices({ credentials });
// Creates an asset(s) from source file(s) and upload
const response = await axios.get("https://developer.adobe.com/document-services/docs/receiptTemplate.docx", { responseType: 'stream' });
const readStream = response.data;
const inputAsset = await pdfServices.upload({
readStream,
mimeType: MimeType.DOCX
});
// Setup input data for the document merge process
const jsonDataForMerge = {
"author": "Gary Lee",
"Company": {
"Name": "Projected",
"Address": "19718 Mandrake Way",
"PhoneNumber": "+1-100000098"
},
"Invoice": {
"Date": "January 15, 2021",
"Number": 123,
"Items": [
{
"item": "Gloves",
"description": "Microwave gloves",
"UnitPrice": 5,
"Quantity": 2,
"Total": 10
},
{
"item": "Bowls",
"description": "Microwave bowls",
"UnitPrice": 10,
"Quantity": 2,
"Total": 20
}
]
},
"Customer": {
"Name": "Collins Candy",
"Address": "315 Dunning Way",
"PhoneNumber": "+1-200000046",
"Email": "cc@abcdef.co.dw"
},
"Tax": 5,
"Shipping": 5,
"clause": {
"overseas": "The shipment might take 5-10 more than informed."
},
"paymentMethod": "Cash"
};
// Create parameters for the job
const params = new DocumentMergeParams({
jsonDataForMerge,
outputFormat: OutputFormat.PDF
});
// Creates a new job instance
const job = new DocumentMergeJob({ inputAsset, params });
// Submit the job and get the job result
const pollingURL = await pdfServices.submit({ job });
const pdfServicesResponse = await pdfServices.getJobResult({
pollingURL,
resultType: DocumentMergeResult
});
// Get content from the resulting asset(s)
const resultAsset = pdfServicesResponse.result.asset;
const streamAsset = await pdfServices.getContent({ asset: resultAsset });
// Creates a write stream and copy stream asset's content to it
const outputFilePath = "/tmp/generatePDFOutput.pdf";
console.log(`Saving asset at ${outputFilePath}`);
return new Promise((resolve, reject) => {
const writeStream = fs.createWriteStream(outputFilePath);
streamAsset.readStream.pipe(writeStream);
writeStream.on('finish', () => resolve(outputFilePath));
writeStream.on('error', reject);
});
} catch(err) {
console.error('Error generating PDF:', err);
throw err;
}
},
})
OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openai: {
type: "app",
app: "openai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openai.com/v1/models`,
headers: {
Authorization: `Bearer ${this.openai.$auth.api_key}`,
},
})
},
})