with Withings and Azure OpenAI?
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
Translate text from one language to another. See the documentation
Withings API lets you tap into health and wellness data from Withings devices like smart scales, watches, and sleep trackers. The API enables you to fetch measurements such as weight, activity, sleep, and heart rate data. This data can inform personal health apps, trigger notifications for health milestones, or integrate with health coaching platforms. By leveraging Pipedream's power, you can automate workflows that react to this data, enriching user profiles, informing coaching decisions, or driving wellness-focused communities and challenges.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
withings: {
type: "app",
app: "withings",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://wbsapi.withings.net/measure`,
headers: {
Authorization: `Bearer ${this.withings.$auth.oauth_access_token}`,
},
params: {
action: `getmeas`,
},
})
},
})
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,
})
},
})