import app from "../../textcortex.app.mjs";
import constants from "../../common/constants.mjs";
export default {
key: "textcortex-summarize-text",
name: "Summarize Text",
description: "Summarize given text. The text can be provided as a string or as a file ID. [See the documentation](https://docs.textcortex.com/api/paths/texts-summarizations/post)",
type: "action",
version: "0.0.1",
props: {
app,
fileId: {
type: "string",
label: "File ID",
description: "The ID of the file to summarize. **string<uuid>** Example: `8a0cfb4f-ddc9-436d-91bb-75133c583767`",
optional: true,
},
maxTokens: {
propDefinition: [
app,
"maxTokens",
],
},
mode: {
type: "string",
label: "Mode",
description: "The summarization mode.",
options: Object.values(constants.SUMMARIZE_MODE),
optional: true,
},
model: {
optional: true,
propDefinition: [
app,
"model",
],
},
n: {
propDefinition: [
app,
"n",
],
},
sourceLang: {
propDefinition: [
app,
"sourceLang",
],
},
targetLang: {
propDefinition: [
app,
"targetLang",
],
},
temperature: {
propDefinition: [
app,
"temperature",
],
},
text: {
description: "The text to summarize.",
optional: true,
propDefinition: [
app,
"text",
],
},
},
methods: {
summarizeText(args = {}) {
return this.app.post({
path: "/texts/summarizations",
...args,
});
},
},
async run({ $: step }) {
const {
summarizeText,
fileId,
maxTokens,
model,
mode,
n,
sourceLang,
targetLang,
temperature,
text,
} = this;
const response = await summarizeText({
step,
data: {
file_id: fileId,
max_tokens: maxTokens,
model,
mode,
n,
source_lang: sourceLang,
target_lang: targetLang,
temperature,
text,
},
});
step.export("$summary", `Successfully summarized with status \`${response.status}\``);
return response;
},
};
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