import coherePlatform from "../../cohere_platform.app.mjs";
export default {
key: "cohere_platform-classify-text",
name: "Classify Text",
version: "0.0.1",
description: "This action makes a prediction about which label fits the specified text inputs best. [See the docs here](https://docs.cohere.com/reference/classify)",
type: "action",
props: {
coherePlatform,
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.",
},
classifyModel: {
propDefinition: [
coherePlatform,
"classifyModel",
],
},
preset: {
propDefinition: [
coherePlatform,
"preset",
],
},
truncate: {
propDefinition: [
coherePlatform,
"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 labels must be provided.",
reloadProps: true,
},
},
async 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;
},
async run({ $ }) {
const examples = [];
for (let i = 0; i < this.numExamples; i++) {
examples.push({
text: this[`text_${i}`],
label: this[`label_${i}`],
});
}
const response = await this.coherePlatform.classifyText({
inputs: this.inputs,
model: this.model,
preset: this.preset,
truncate: this.truncate,
examples,
});
if (response.statusCode != "200") {
throw new Error(response.body.message);
}
$.export("$summary", "The text was successfully classified.");
return response;
},
};
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