with Google Sheets and Llama AI?
Emit new event each time a comment is added to a spreadsheet.
Emit new event each time a row or rows are added to the bottom of a spreadsheet.
Emit new event each time a row or rows are added to the bottom of a spreadsheet.
Emit new event each time a row or cell is updated in a spreadsheet.
Emit new event each time a new worksheet is created in a spreadsheet.
Add a single row of data to Google Sheets. See the documentation
Add multiple rows of data to a Google Sheet. See the documentation
Get all values or values from a range of cells using A1 notation. See the documentation
Delete the content of a specific cell in a spreadsheet. See the documentation
The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_sheets: {
type: "app",
app: "google_sheets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_sheets.$auth.oauth_access_token}`,
},
})
},
})
The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
llama_ai: {
type: "app",
app: "llama_ai",
}
},
async run({steps, $}) {
const data = {
"messages": [
{"role": "user", "content": "What is the weather like in Boston?"},
],
"functions": [
{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"days": {
"type": "number",
"description": "for how many days ahead you wants the forecast",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
},
"required": ["location", "days"],
}
],
"stream": "false",
"function_call": "get_current_weather",
}
return await axios($, {
method: "post",
url: `https://api.llama-api.com/chat/completions`,
headers: {
Authorization: `Bearer ${this.llama_ai.$auth.api_token}`,
},
data,
})
},
})