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Specify LLM prompt in case JSON schema is not supported

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This commit is contained in:
Cohee
2024-04-14 17:13:54 +03:00
parent b02394008c
commit 3e60919289
3 changed files with 80 additions and 14 deletions
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84
public/scripts/extensions/expressions/index.js
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@@ -5,13 +5,15 @@ import { loadMovingUIState, power_user } from '../../power-user.js';
import { registerSlashCommand } from '../../slash-commands.js';
import { onlyUnique, debounce, getCharaFilename, trimToEndSentence, trimToStartSentence } from '../../utils.js';
import { hideMutedSprites } from '../../group-chats.js';
import { isJsonSchemaSupported } from '../../textgen-settings.js';
export { MODULE_NAME };
const MODULE_NAME = 'expressions';
const UPDATE_INTERVAL = 2000;
const STREAMING_UPDATE_INTERVAL = 6000;
const STREAMING_UPDATE_INTERVAL = 10000;
const TALKINGCHECK_UPDATE_INTERVAL = 500;
const DEFAULT_FALLBACK_EXPRESSION = 'joy';
const DEFAULT_LLM_PROMPT = 'Pause your roleplay. Classify the emotion of the last message. Output just one word, e.g. "joy" or "anger". Choose only one of the following labels: {{labels}}';
const DEFAULT_EXPRESSIONS = [
'talkinghead',
'admiration',
@@ -976,9 +978,49 @@ function sampleClassifyText(text) {
return result.trim();
}
/**
* Gets the classification prompt for the LLM API.
* @param {string[]} labels A list of labels to search for.
* @returns {Promise<string>} Prompt for the LLM API.
*/
async function getLlmPrompt(labels) {
if (isJsonSchemaSupported()) {
return '';
}
const prompt = String(extension_settings.expressions.llmPrompt).replace(/{{labels}}/gi, labels.map(x => `"${x}"`).join(', '));
return prompt;
}
/**
* Parses the emotion response from the LLM API.
* @param {string} emotionResponse The response from the LLM API.
* @param {string[]} labels A list of labels to search for.
* @returns {string} The parsed emotion or the fallback expression.
*/
function parseLlmResponse(emotionResponse, labels) {
const fallbackExpression = getFallbackExpression();
try {
const parsedEmotion = JSON.parse(emotionResponse);
return parsedEmotion?.emotion ?? fallbackExpression;
} catch {
const fuse = new Fuse([emotionResponse]);
for (const label of labels) {
const result = fuse.search(label);
if (result.length > 0) {
return label;
}
}
}
return fallbackExpression;
}
function onTextGenSettingsReady(args) {
// Only call if inside an API call
if (inApiCall) {
if (inApiCall && extension_settings.expressions.api === EXPRESSION_API.llm && isJsonSchemaSupported()) {
const emotions = DEFAULT_EXPRESSIONS.filter((e) => e != 'talkinghead');
Object.assign(args, {
top_k: 1,
@@ -1016,8 +1058,8 @@ async function getExpressionLabel(text) {
try {
switch (extension_settings.expressions.api) {
case EXPRESSION_API.local:
// Local BERT pipeline
// Local BERT pipeline
case EXPRESSION_API.local: {
const localResult = await fetch('/api/extra/classify', {
method: 'POST',
headers: getRequestHeaders(),
@@ -1028,15 +1070,16 @@ async function getExpressionLabel(text) {
const data = await localResult.json();
return data.classification[0].label;
}
break;
case EXPRESSION_API.llm:
// Using LLM
const emotionResponse = await generateQuietPrompt('', false);
const parsedEmotion = JSON.parse(emotionResponse);
return parsedEmotion.emotion;
default:
// Extras
} break;
// Using LLM
case EXPRESSION_API.llm: {
const expressionsList = await getExpressionsList();
const prompt = await getLlmPrompt(expressionsList);
const emotionResponse = await generateQuietPrompt(prompt, false, false);
return parseLlmResponse(emotionResponse, expressionsList);
}
// Extras
default: {
const url = new URL(getApiUrl());
url.pathname = '/api/classify';
@@ -1053,6 +1096,7 @@ async function getExpressionLabel(text) {
const data = await extrasResult.json();
return data.classification[0].label;
}
} break;
}
} catch (error) {
toastr.info('Could not classify expression. Check the console or your backend for more information.');
@@ -1488,6 +1532,7 @@ function onExperesionApiChanged() {
const tempApi = this.value;
if (tempApi) {
extension_settings.expressions.api = Number(tempApi);
$('.expression_llm_prompt_block').toggle(extension_settings.expressions.api === EXPRESSION_API.llm);
moduleWorker();
saveSettingsDebounced();
}
@@ -1760,6 +1805,11 @@ function migrateSettings() {
delete extension_settings.expressions.local;
saveSettingsDebounced();
}
if (extension_settings.expressions.llmPrompt === undefined) {
extension_settings.expressions.llmPrompt = DEFAULT_LLM_PROMPT;
saveSettingsDebounced();
}
}
(async function () {
@@ -1811,7 +1861,13 @@ function migrateSettings() {
});
await renderAdditionalExpressionSettings();
$('#expression_api').val(extension_settings.expressions.api || EXPRESSION_API.extras);
$('#expression_api').val(extension_settings.expressions.api ?? EXPRESSION_API.extras);
$('.expression_llm_prompt_block').toggle(extension_settings.expressions.api === EXPRESSION_API.llm);
$('#expression_llm_prompt').val(extension_settings.expressions.llmPrompt ?? '');
$('#expression_llm_prompt').on('input', function () {
extension_settings.expressions.llmPrompt = $(this).val();
saveSettingsDebounced();
});
$('#expression_custom_add').on('click', onClickExpressionAddCustom);
$('#expression_custom_remove').on('click', onClickExpressionRemoveCustom);