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with gpt-trainer and Microsoft SQL Server?
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Popular Ways to Connect gpt-trainer with Microsoft SQL Server#
Popular gpt-trainer and Microsoft SQL Server Triggers#
Triggers when a new column is added to a table. See the documentation
Triggers when a new row is added or an existing row is updated. See the documentation
Popular gpt-trainer and Microsoft SQL Server Actions#
Create a chat session for a chatbot specified by chatbot UUID. See the documentation
Executes a SQL query and returns the results. See the documentation
Creates a new chatbot that belongs to the authenticated user. See the documentation
Create a session message for a chatbot session specified by session UUID. See the documentation
Overview of gpt-trainer#
The gpt-trainer API is a tool designed to train, run, and manage custom GPT-2 and GPT-3 models. It provides endpoints for submitting training data, starting the training process, and generating text from the trained model. With Pipedream's serverless integration platform, you can automate workflows that interact with the gpt-trainer API. You can trigger workflows using webhooks, schedule them, or even run them in response to events from other apps. Integrate the gpt-trainer API with other services on Pipedream to create powerful applications such as automated content creation, personalized messaging, or AI-driven data analysis.
Connect gpt-trainer#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gpt_trainer: {
type: "app",
app: "gpt_trainer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.gpt-trainer.com/api/v1/chatbots`,
headers: {
Authorization: `Bearer ${this.gpt_trainer.$auth.api_key}`,
},
})
},
})
Overview of Microsoft SQL Server#
With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.
Connect Microsoft SQL Server#
import sql from "mssql"
export default defineComponent({
props: {
microsoft_sql_server: {
type: "app",
app: "microsoft_sql_server",
}
},
async run({steps, $}) {
const { host, username, password, port, database, encrypt,trustServerCertificate } = this.microsoft_sql_server.$auth
const conn_str = `Server=${host},${port};Database=${database};User Id=${username};Password=${password};Encrypt=${encrypt};TrustServerCertificate=${trustServerCertificate}`;
await sql.connect(conn_str);
return await sql.query`SELECT GETDATE()`
},
})
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