← Notion + gpt-trainer integrations

Create Chatbot with gpt-trainer API on New Database from Notion API

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New Database from the Notion API
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Create Chatbot with the gpt-trainer API
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Getting Started

This integration creates a workflow with a Notion trigger and gpt-trainer action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Database trigger
    1. Connect your Notion account
    2. Configure timer
  3. Configure the Create Chatbot action
    1. Connect your gpt-trainer account
    2. Configure Name
    3. Optional- Configure Prompt
    4. Optional- Configure Temperature
    5. Optional- Select a Model
    6. Optional- Select a Visibility
    7. Optional- Configure Rate Limit Message
    8. Optional- Configure Show Citations
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when a database is created. Note: Databases must be shared with your Pipedream Integtration to trigger event.
Version:0.0.8
Key:notion-new-database

Notion Overview

Notion's API allows for the creation, reading, updating, and deleting of pages, databases, and their contents within Notion. Using Pipedream's platform, you can build workflows that connect Notion with various other services to automate tasks such as content management, task tracking, and data synchronization. With Pipedream's serverless execution, you can trigger these workflows on a schedule, or by external events from other services, without managing any infrastructure.

Trigger Code

import base from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";
import constants from "../common/constants.mjs";

export default {
  ...base,
  key: "notion-new-database",
  name: "New Database",
  description: "Emit new event when a database is created. Note: Databases must be shared with your Pipedream Integtration to trigger event.",
  version: "0.0.8",
  type: "source",
  async run() {
    const databases = [];
    const params = this.lastCreatedSortParam();
    const lastCreatedTimestamp = this.getLastCreatedTimestamp();

    do {
      const response = await this.notion.listDatabases(params);

      for (const database of response.results) {
        if (!this.isResultNew(database.created_time, lastCreatedTimestamp)) {
          params.start_cursor = null;
          break;
        }
        databases.push(database);
      }

      params.start_cursor = response.next_cursor;
    } while (params.start_cursor);

    databases.reverse().forEach((database) => {
      const meta = this.generateMeta(
        database,
        constants.types.DATABASE,
        constants.timestamps.CREATED_TIME,
        constants.summaries.DATABASE_ADDED,
      );
      this.$emit(database, meta);
    });

    const lastCreatedTime = databases[databases.length - 1]?.created_time;
    if (lastCreatedTime) {
      this.setLastCreatedTimestamp(Date.parse(lastCreatedTime));
    }
  },
  sampleEmit,
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
NotionnotionappThis component uses the Notion app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

Notion uses OAuth authentication. When you connect your Notion account, Pipedream will open a popup window where you can sign into Notion and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Notion API.

Pipedream requests the following authorization scopes when you connect your account:

About Notion

Notion is a new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.

Action

Description:Creates a new chatbot that belongs to the authenticated user. [See the documentation](https://guide.gpt-trainer.com/api-reference/chatbots/create)
Version:0.0.1
Key:gpt_trainer-create-chatbot

gpt-trainer Overview

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.

Action Code

import app from "../../gpt_trainer.app.mjs";

export default {
  key: "gpt_trainer-create-chatbot",
  name: "Create Chatbot",
  description: "Creates a new chatbot that belongs to the authenticated user. [See the documentation](https://guide.gpt-trainer.com/api-reference/chatbots/create)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    name: {
      type: "string",
      label: "Name",
      description: "The name of the chatbot",
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "The prompt for the chatbot",
      optional: true,
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: "The temperature setting for the chatbot",
      optional: true,
    },
    model: {
      type: "string",
      label: "Model",
      description: "The model of the chatbot",
      optional: true,
      default: "gpt-3.5-turbo",
      options: [
        "gpt-3.5-turbo",
        "gpt-3.5-turbo-16k",
        "gpt-4",
      ],
    },
    visibility: {
      type: "string",
      label: "Visibility",
      description: "The visibility of the chatbot",
      optional: true,
      default: "private",
      options: [
        "public",
        "private",
        "hybrid",
      ],
    },
    rateLimitMessage: {
      type: "string",
      label: "Rate Limit Message",
      description: "The rate limit message for the chatbot. Eg. `Too many messages in a row.`",
      optional: true,
    },
    showCitations: {
      type: "boolean",
      label: "Show Citations",
      description: "Whether the chatbot should show citations",
      optional: true,
    },
  },
  methods: {
    parseFloat(value) {
      const parsed = parseFloat(value);
      return isFinite(parsed)
        ? parsed
        : 0;
    },
    createChatbot(args = {}) {
      return this.app.post({
        path: "/chatbot/create",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      createChatbot,
      parseFloat,
      name,
      prompt,
      temperature,
      model,
      visibility,
      rateLimitMessage,
      showCitations,
    } = this;

    const response = await createChatbot({
      $,
      data: {
        name,
        temperature: parseFloat(temperature),
        prompt,
        model,
        visibility,
        show_citations: showCitations,
        rate_limit_message: rateLimitMessage,
      },
    });

    $.export("$summary", `Successfully created chatbot with UUID \`${response.uuid}\`.`);
    return response;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
gpt-trainerappappThis component uses the gpt-trainer app.
Namenamestring

The name of the chatbot

Promptpromptstring

The prompt for the chatbot

Temperaturetemperaturestring

The temperature setting for the chatbot

ModelmodelstringSelect a value from the drop down menu:gpt-3.5-turbogpt-3.5-turbo-16kgpt-4
VisibilityvisibilitystringSelect a value from the drop down menu:publicprivatehybrid
Rate Limit MessagerateLimitMessagestring

The rate limit message for the chatbot. Eg. Too many messages in a row.

Show CitationsshowCitationsboolean

Whether the chatbot should show citations

Action Authentication

gpt-trainer uses API keys for authentication. When you connect your gpt-trainer account, Pipedream securely stores the keys so you can easily authenticate to gpt-trainer APIs in both code and no-code steps.

About gpt-trainer

Create a personalized AI chatbot using your own data

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