Uploadcare handles file uploads, storage, processing and delivery for the modern web. Build more, code less. Sign up at uploadcare.com to get your free API key.
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Classify items into specific categories. See the documentation
Creates an image given a prompt, and returns a URL to the image. See the documentation
Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation
Uploadcare is a file uploading, processing, and delivery platform that provides developers with tools to handle the entire file lifecycle with ease. With its robust API, you can upload files from any device, transform images and documents on-the-fly, and manage digital content with a comprehensive set of features. Integrating Uploadcare with Pipedream allows you to craft workflows that automate file operations and connect them seamlessly with other services, such as CRMs, marketing platforms, and data analysis tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
uploadcare: {
type: "app",
app: "uploadcare",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.uploadcare.com/project/`,
headers: {
"Content-Type": `application/json`,
"Accept": `application/vnd.uploadcare-v0.5+json`,
"Authorization": `Uploadcare.Simple ${this.uploadcare.$auth.api_key}:${this.uploadcare.$auth.api_secret}`,
},
})
},
})
The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_openai_service: {
type: "app",
app: "azure_openai_service",
}
},
async run({steps, $}) {
const data = {
"messages": [{ role: 'user', content: "Hello, world!" }],
}
return await axios($, {
method: "post",
url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
headers: {
"Content-Type": `application/json`,
"api-key": `${this.azure_openai_service.$auth.api_key}`,
},
data,
})
},
})