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Classify Text with Cohere API

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Classify Text with the Cohere API
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Getting Started

Create a workflow to Classify Text with the Cohere API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Classify Text action
    1. Connect your Cohere account
    2. Configure Inputs
    3. Optional- Select a Model
    4. Optional- Configure Preset
    5. Optional- Select a Truncate
    6. Configure Number of Examples
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Classify Text with Cohere API on New Requests from HTTP / Webhook API
HTTP / Webhook + Cohere
 
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Classify Text with Cohere API on New Submission from Typeform API
Typeform + Cohere
 
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Classify Text with Cohere API on New Submission (Instant) from Jotform API
Jotform + Cohere
 
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Classify Text with Cohere API on New Custom Webhook Events from Stripe API
Stripe + Cohere
 
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Classify Text with Cohere API on New Scheduled Tasks from Pipedream API
Pipedream + Cohere
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Classify Text on Cohere
Description:This action makes a prediction about which label fits the specified text inputs best. [See the documentation](https://docs.cohere.com/reference/classify-1)
Version:0.1.0
Key:cohere_platform-classify-text

Code

import app from "../../cohere_platform.app.mjs";
import { clearObj } from "../../common/utils.mjs";

export default {
  key: "cohere_platform-classify-text",
  name: "Classify Text",
  version: "0.1.0",
  description: "This action makes a prediction about which label fits the specified text inputs best. [See the documentation](https://docs.cohere.com/reference/classify-1)",
  type: "action",
  props: {
    app,
    inputs: {
      type: "string[]",
      label: "Inputs",
      description: "Represents a list of queries to be classified, each entry must not be empty. The maximum is 96 inputs.",
    },
    model: {
      propDefinition: [
        app,
        "classifyModel",
      ],
    },
    preset: {
      propDefinition: [
        app,
        "preset",
      ],
    },
    truncate: {
      propDefinition: [
        app,
        "truncate",
      ],
    },
    numExamples: {
      type: "integer",
      label: "Number of Examples",
      description: "To make a prediction, Classify uses provided examples of text + label pairs. Specify the number of examples to provide. Each example is a text string and its associated label/class. At least 2 unique labels must be provided and each label should have at least 2 different examples.",
      default: 4,
      reloadProps: true,
    },
  },
  additionalProps() {
    const props = {};

    for (let i = 0; i < this.numExamples; i++) {
      props[`text_${i}`] = {
        type: "string",
        label: `Example ${i + 1} Text`,
        description: "Text string of the example",
      };
      props[`label_${i}`] = {
        type: "string",
        label: `Example ${i + 1} Label`,
        description: "Label of the example. Each unique label requires at least 2 examples associated with it.",
      };
    }

    return props;
  },
  methods: {
    getExamples() {
      const examples = [];
      for (let i = 0; i < this.numExamples; i++) {
        examples.push({
          text: this[`text_${i}`],
          label: this[`label_${i}`],
        });
      }
      return examples;
    },
    classifyText(data) {
      return this.app.client().classify(data);
    },
  },
  async run({ $ }) {
    const {
      classifyText,
      inputs,
      model,
      preset,
      truncate,
      getExamples,
    } = this;

    const response = await classifyText(clearObj({
      inputs,
      model,
      preset,
      truncate,
      examples: getExamples(),
    }));

    $.export("$summary", `The text was successfully classified with ID \`${response.id}\``);
    return response;
  },
};

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
CohereappappThis component uses the Cohere app.
Inputsinputsstring[]

Represents a list of queries to be classified, each entry must not be empty. The maximum is 96 inputs.

ModelmodelstringSelect a value from the drop down menu:embed-multilingual-v2.0embed-english-light-v2.0embed-english-v2.0
Presetpresetstring

The ID of a custom playground preset. You can create presets in the playground. If you use a preset, all other parameters become optional, and any included parameters will override the preset's parameters.

TruncatetruncatestringSelect a value from the drop down menu:NONESTARTEND
Number of ExamplesnumExamplesinteger

To make a prediction, Classify uses provided examples of text + label pairs. Specify the number of examples to provide. Each example is a text string and its associated label/class. At least 2 unique labels must be provided and each label should have at least 2 different examples.

Authentication

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

Generate and copy your API key from your Cohere Platform dashboard.

About Cohere

Making NLP part of every developer's toolkit. Harness the power of language understanding. Join the developers and businesses who are using Cohere to generate, categorize and organize text at a scale that was previously unimaginable.

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