with Microsoft Excel and Azure OpenAI?
Emit new event when when a specific cell's value changes in an Excel worksheet
Emit new event when when a new row is added to an Excel worksheet
Emit new event when a new Excel spreadsheet is created.
Emit new event when an Excel spreadsheet is updated.
Adds rows to the end of specific table. See the documentation
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Insert a new row into a specified Excel worksheet. See the documentation
Classify items into specific categories. See the documentation
Find a row by column and value in an Excel worksheet. See the documentation
The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_excel: {
type: "app",
app: "microsoft_excel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_excel.$auth.oauth_access_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,
})
},
})