with HeyGen and Azure OpenAI?
Emit new event when a specific avatar video event occurs. The user can define a custom set of event(s) to trigger. See the documentation
Emit new event when a Heygen video fails during processing. See the documentation
Emit new event when a new avatar video has been successfully generated. See the documentation
Creates a talking photo from a provided image. See the documentation
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Generates a video from a selected template. 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
The HeyGen API offers tools for generating visual content, such as social media posts, banners, and other graphics programmatically. Integrating this API with Pipedream allows you to automate the creation and distribution of visual assets based on various triggers and data sources. For example, you can generate new images when a new product is added to your inventory, create customized social media posts from RSS feed items, or even automate weekly visual reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heygen: {
type: "app",
app: "heygen",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.heygen.com/v2/avatars`,
headers: {
"X-Api-Key": `${this.heygen.$auth.api_token}`,
},
})
},
})
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,
})
},
})