What do you want to automate
with Strava and Azure OpenAI Service?
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Popular Ways to Connect Strava with Azure OpenAI Service#
Popular Strava and Azure OpenAI Service Actions#
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
Returns the given activity that is owned by the authenticated athlete. See the docs
Overview of Strava#
The Strava API lets you tap into the robust data from Strava's fitness app, which is a playground for athletes worldwide to track their workouts. With Pipedream, you can automate actions based on activities uploaded to Strava, such as running, biking, or swimming. Imagine syncing workout data to spreadsheets for analysis, auto-posting achievements to social media, or integrating with calendar apps for better scheduling. Pipedream's serverless platform makes it a breeze to create workflows that can listen for Strava webhooks, process data, and trigger actions in countless other apps.
Connect Strava#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
strava: {
type: "app",
app: "strava",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.strava.com/api/v3/athlete`,
headers: {
Authorization: `Bearer ${this.strava.$auth.oauth_access_token}`,
},
})
},
})
Overview of Azure OpenAI Service#
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.
Connect Azure OpenAI Service#
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,
})
},
})
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