import app from "../../hugging_face.app.mjs";
import utils from "../../common/utils.mjs";
import tag from "../common/tag.mjs";
export default {
key: "hugging_face-text-summarization",
name: "Text Summarization",
description: "This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#summarization).",
type: "action",
version: "0.0.1",
props: {
app,
modelId: {
propDefinition: [
app,
"modelId",
() => ({
tagFilter: tag.SUMMARIZATION,
}),
],
},
text: {
type: "string",
label: "Text",
description: "The text to use for summarization.",
},
maxLength: {
type: "integer",
label: "Max Length",
description: "The maximum length of the summary.",
optional: true,
},
minLength: {
type: "integer",
label: "Min Length",
description: "The minimum length of the summary.",
optional: true,
},
maxTime: {
type: "integer",
label: "Max Time",
description: "The maximum time in seconds to spend on the generation.",
optional: true,
},
repetitionPenalty: {
type: "string",
label: "Repetition Penalty",
description: "The parameter for repetition penalty. 1.0 means no penalty. See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details.",
optional: true,
},
temperature: {
type: "string",
label: "Temperature",
description: "The value used to module the next token probabilities. Must be strictly positive. See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details.",
optional: true,
},
topK: {
type: "integer",
label: "Top K",
description: "The number of highest probability vocabulary tokens to keep for top-k-filtering.",
optional: true,
},
topP: {
type: "string",
label: "Top P",
description: "If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation.",
optional: true,
},
requestTimeout: {
type: "integer",
label: "Request Timeout",
description: "The maximum time in milliseconds to wait for a response from the API.",
optional: true,
},
},
async run({ $: step }) {
const {
modelId,
text,
maxLength,
minLength,
maxTime,
repetitionPenalty,
temperature,
topK,
topP,
requestTimeout,
} = this;
const parameters = utils.reduceProperties({
additionalProps: {
max_length: maxLength,
min_length: minLength,
max_time: maxTime,
repetition_penalty: utils.strToFloat(repetitionPenalty),
temperature: utils.strToFloat(temperature),
top_k: utils.strToFloat(topK),
top_p: utils.strToFloat(topP),
},
});
const response = await this.app.inference({
step,
modelId,
data: {
inputs: text,
parameters,
},
timeout: requestTimeout,
});
step.export("$summary", "Successfully summarized text");
return response;
},
};
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