Classify Items into Categories with OpenAI (ChatGPT) API on New Meeting Created from Fireflies API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Fireflies and 2,400+ other apps remarkably fast.

Trigger workflow on

New Meeting Created from the Fireflies API

Next, do this

Classify Items into Categories with the OpenAI (ChatGPT) API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Getting Started#

This integration creates a workflow with a Fireflies trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Meeting Created trigger
1. Connect your Fireflies account
2. Configure timer
Configure the Classify Items into Categories action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Optional- Configure Max Tokens
4. Optional- Configure Temperature
5. Optional- Configure Top P
6. Optional- Configure N
7. Optional- Configure Stop
8. Optional- Configure Presence Penalty
9. Optional- Configure Frequency Penalty
10. Optional- Configure User
11. Configure info
12. Configure Items
13. Configure Categories
Deploy the workflow
Send a test event to validate your setup
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#

New Meeting Created on Fireflies

Description:Emit new event when a meeting with transcripts is created

Version:0.0.1

Key:fireflies-new-meeting-created

View on GitHub

Fireflies Overview#

The Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.

Trigger Code#

import fireflies from "../../fireflies.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import constants from "../../common/constants.mjs";
import queries from "../../common/queries.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "fireflies-new-meeting-created",
  name: "New Meeting Created",
  description: "Emit new event when a meeting with transcripts is created",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    fireflies,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") || this.oneDayAgo;
    },
    _setLastDate(lastDate) {
      this.db.set("lastDate", lastDate);
    },
    oneDayAgo() {
      return Date.now() - 24 * 60 * 60 * 1000;
    },
    emitEvent(result) {
      const meta = this.generateMeta(result);
      this.$emit(result, meta);
    },
    generateMeta(result) {
      return {
        id: result.id,
        summary: `New Meeting: ${result.title}`,
        ts: Date.parse(result.date),
      };
    },
  },
  async run() {
    const lastDate = this._getLastDate();
    const limit = constants.DEFAULT_LIMIT;
    const variables = {
      date: lastDate,
      limit,
      skip: 0,
    };
    let total;
    const results = [];

    do {
      const { data: { transcripts } } = await this.fireflies.query({
        data: {
          query: queries.listTranscriptsByDate,
          variables,
        },
      });
      results.push(...transcripts);
      total = transcripts?.length;
      variables.skip += limit;
    } while (total === limit);

    if (!results.length) {
      return;
    }

    this._setLastDate(results[0].date);
    results.reverse().forEach((result) => this.emitEvent(result));
  },
  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.

Label	Prop	Type	Description
Fireflies	`fireflies`	`app`	This component uses the Fireflies app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Fireflies#

Fireflies.ai helps your team transcribe, summarize, search, and analyze voice conversations.

Action#

Classify Items into Categories on OpenAI (ChatGPT)

Description:Classify items into specific categories using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)

Version:0.1.2

Key:openai-classify-items-into-categories

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

import common from "../common/common-helper.mjs";

export default {
  ...common,
  name: "Classify Items into Categories",
  version: "0.1.2",
  key: "openai-classify-items-into-categories",
  description: "Classify items into specific categories using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    ...common.props,
    info: {
      type: "alert",
      alertType: "info",
      content: `Provide a list of **items** and a list of **categories**. The output will contain an array of objects, each with properties \`item\` and \`category\`
        \nExample:
        \nIf **Categories** is \`["people", "pets"]\`, and **Items** is \`["dog", "George Washington"]\`
        \n The output will contain the following categorizations:
        \n \`[{"item":"dog","category":"pets"},{"item":"George Washington","category":"people"}]\`
      `,
    },
    items: {
      label: "Items",
      description: "Items to categorize",
      type: "string[]",
    },
    categories: {
      label: "Categories",
      description: "Categories to classify items into",
      type: "string[]",
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to categorize items into specific categories and produce ONLY JSON. The user will provide both the items and categories. Please only categorize items into the specific categories, and no others, and output ONLY JSON.";
    },
    outputFormat() {
      return "Please only categorize items into the specific categories, and no others. Output a valid JSON string — an array of objects, where each object has the following properties: item, category. Do not return any English text other than the JSON, either before or after the JSON. I need to parse the response as JSON, and parsing will fail if you return any English before or after the JSON";
    },
    userMessage() {
      return `Categorize each of the following items:\n\n${this.items.join("\n")}\n\ninto one of the following categories:\n\n${this.categories.join("\n")}\n\n${this.outputFormat()}}`;
    },
    summary() {
      return `Categorized ${this.items.length} items into ${this.categories.length} categories`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const responses = response.choices?.map(({ message }) => message.content);
      const categorizations = [];
      for (const response of responses) {
        try {
          categorizations.push(JSON.parse(response));
        } catch (err) {
          console.log("Failed to parse output, assistant returned malformed JSON");
        }
      }
      const output = {
        messages,
      };
      if (this.n > 1) {
        output.categorizations = categorizations;
      } else {
        output.categorizations = categorizations[0];
      }
      return output;
    },
  },
};

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.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.
Top P	`topP`	`string`	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
N	`n`	`integer`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
Frequency Penalty	`frequencyPenalty`	`string`	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.
Items	`items`	`string[]`	Items to categorize
Categories	`categories`	`string[]`	Categories to classify items into

Classify Items into Categories with OpenAI (ChatGPT) API on New Meeting Created from Fireflies API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Fireflies and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

1-24of2,400+apps by most popular

1
-
24
of
2,400+
apps by most popular