SillyTavern/public/scripts/textgen-models.js
2024-02-16 09:07:06 -06:00

260 lines
8.7 KiB
JavaScript

import { callPopup, getRequestHeaders, setGenerationParamsFromPreset } from '../script.js';
import { isMobile } from './RossAscends-mods.js';
import { textgenerationwebui_settings as textgen_settings, textgen_types } from './textgen-settings.js';
let mancerModels = [];
let togetherModels = [];
let infermaticAIModels = [];
export async function loadOllamaModels(data) {
if (!Array.isArray(data)) {
console.error('Invalid Ollama models data', data);
return;
}
if (!data.find(x => x.id === textgen_settings.ollama_model)) {
textgen_settings.ollama_model = data[0]?.id || '';
}
$('#ollama_model').empty();
for (const model of data) {
const option = document.createElement('option');
option.value = model.id;
option.text = model.name;
option.selected = model.id === textgen_settings.ollama_model;
$('#ollama_model').append(option);
}
}
export async function loadTogetherAIModels(data) {
if (!Array.isArray(data)) {
console.error('Invalid Together AI models data', data);
return;
}
togetherModels = data;
if (!data.find(x => x.name === textgen_settings.togetherai_model)) {
textgen_settings.togetherai_model = data[0]?.name || '';
}
$('#model_togetherai_select').empty();
for (const model of data) {
// Hey buddy, I think you've got the wrong door.
if (model.display_type === 'image') {
continue;
}
const option = document.createElement('option');
option.value = model.name;
option.text = model.display_name;
option.selected = model.name === textgen_settings.togetherai_model;
$('#model_togetherai_select').append(option);
}
}
export async function loadInfermaticAIModels(data) {
if (!Array.isArray(data)) {
console.error('Invalid Infermatic AI models data', data);
return;
}
infermaticAIModels = data;
if (!data.find(x => x.id === textgen_settings.infermaticai_model)) {
textgen_settings.infermaticai_model = data[0]?.id || '';
}
$('#model_infermaticai_select').empty();
for (const model of data) {
if (model.display_type === 'image') {
continue;
}
const option = document.createElement('option');
option.value = model.id;
option.text = model.id;
option.selected = model.id === textgen_settings.infermaticai_model;
$('#model_infermaticai_select').append(option);
}
}
export async function loadMancerModels(data) {
if (!Array.isArray(data)) {
console.error('Invalid Mancer models data', data);
return;
}
mancerModels = data;
if (!data.find(x => x.id === textgen_settings.mancer_model)) {
textgen_settings.mancer_model = data[0]?.id || '';
}
$('#mancer_model').empty();
for (const model of data) {
const option = document.createElement('option');
option.value = model.id;
option.text = model.name;
option.selected = model.id === textgen_settings.mancer_model;
$('#mancer_model').append(option);
}
}
function onMancerModelSelect() {
const modelId = String($('#mancer_model').val());
textgen_settings.mancer_model = modelId;
$('#api_button_textgenerationwebui').trigger('click');
const limits = mancerModels.find(x => x.id === modelId)?.limits;
setGenerationParamsFromPreset({ max_length: limits.context, genamt: limits.completion });
}
function onTogetherModelSelect() {
const modelName = String($('#model_togetherai_select').val());
textgen_settings.togetherai_model = modelName;
$('#api_button_textgenerationwebui').trigger('click');
const model = togetherModels.find(x => x.name === modelName);
setGenerationParamsFromPreset({ max_length: model.context_length });
}
function onInfermaticAIModelSelect() {
const modelName = String($('#model_infermaticai_select').val());
textgen_settings.infermaticai_model = modelName;
$('#api_button_textgenerationwebui').trigger('click');
const model = infermaticAIModels.find(x => x.id === modelName);
setGenerationParamsFromPreset({ max_length: model.context_length });
}
function onOllamaModelSelect() {
const modelId = String($('#ollama_model').val());
textgen_settings.ollama_model = modelId;
$('#api_button_textgenerationwebui').trigger('click');
}
function getMancerModelTemplate(option) {
const model = mancerModels.find(x => x.id === option?.element?.value);
if (!option.id || !model) {
return option.text;
}
const creditsPerPrompt = (model.limits?.context - model.limits?.completion) * model.pricing?.prompt;
const creditsPerCompletion = model.limits?.completion * model.pricing?.completion;
const creditsTotal = Math.round(creditsPerPrompt + creditsPerCompletion).toFixed(0);
return $((`
<div class="flex-container flexFlowColumn">
<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.limits?.context} ctx</span> / <span>${model.limits?.completion} res</span> | <small>Credits per request (max): ${creditsTotal}</small></div>
</div>
`));
}
function getTogetherModelTemplate(option) {
const model = togetherModels.find(x => x.name === option?.element?.value);
if (!option.id || !model) {
return option.text;
}
return $((`
<div class="flex-container flexFlowColumn">
<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.context_length || '???'} tokens</span></div>
<div><small>${DOMPurify.sanitize(model.description)}</small></div>
</div>
`));
}
function getInfermaticAIModelTemplate(option) {
const model = infermaticAIModels.find(x => x.id === option?.element?.value);
if (!option.id || !model) {
return option.text;
}
return $((`
<div class="flex-container flexFlowColumn">
<div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
</div>
`));
}
async function downloadOllamaModel() {
try {
const serverUrl = textgen_settings.server_urls[textgen_types.OLLAMA];
if (!serverUrl) {
toastr.info('Please connect to an Ollama server first.');
return;
}
const html = `Enter a model tag, for example <code>llama2:latest</code>.<br>
See <a target="_blank" href="https://ollama.ai/library">Library</a> for available models.`;
const name = await callPopup(html, 'input', '', { okButton: 'Download' });
if (!name) {
return;
}
toastr.info('Download may take a while, please wait...', 'Working on it');
const response = await fetch('/api/backends/text-completions/ollama/download', {
method: 'POST',
headers: getRequestHeaders(),
body: JSON.stringify({
name: name,
api_server: serverUrl,
}),
});
if (!response.ok) {
throw new Error(response.statusText);
}
// Force refresh the model list
toastr.success('Download complete. Please select the model from the dropdown.');
$('#api_button_textgenerationwebui').trigger('click');
} catch (err) {
console.error(err);
toastr.error('Failed to download Ollama model. Please try again.');
}
}
jQuery(function () {
$('#mancer_model').on('change', onMancerModelSelect);
$('#model_togetherai_select').on('change', onTogetherModelSelect);
$('#model_infermaticai_select').on('change', onInfermaticAIModelSelect);
$('#ollama_model').on('change', onOllamaModelSelect);
$('#ollama_download_model').on('click', downloadOllamaModel);
if (!isMobile()) {
$('#mancer_model').select2({
placeholder: 'Select a model',
searchInputPlaceholder: 'Search models...',
searchInputCssClass: 'text_pole',
width: '100%',
templateResult: getMancerModelTemplate,
});
$('#model_togetherai_select').select2({
placeholder: 'Select a model',
searchInputPlaceholder: 'Search models...',
searchInputCssClass: 'text_pole',
width: '100%',
templateResult: getTogetherModelTemplate,
});
$('#ollama_model').select2({
placeholder: 'Select a model',
searchInputPlaceholder: 'Search models...',
searchInputCssClass: 'text_pole',
width: '100%',
});
$('#model_infermaticai_select').select2({
placeholder: 'Select a model',
searchInputPlaceholder: 'Search models...',
searchInputCssClass: 'text_pole',
width: '100%',
templateResult: getInfermaticAIModelTemplate,
});
}
});