[FIXED] Add PaLM vectorization source (#1182)

* Add PaLM vectorization source

* FIX

* Add API key check. Fix comment

---------

Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
This commit is contained in:
theunstableman 2023-09-25 19:29:28 +07:00 committed by GitHub
parent 773d42b886
commit 8f426a0184
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 54 additions and 1 deletions

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@ -1,6 +1,7 @@
import { eventSource, event_types, extension_prompt_types, getCurrentChatId, getRequestHeaders, is_send_press, saveSettingsDebounced, setExtensionPrompt, substituteParams } from "../../../script.js";
import { ModuleWorkerWrapper, extension_settings, getContext, renderExtensionTemplate } from "../../extensions.js";
import { collapseNewlines, power_user, ui_mode } from "../../power-user.js";
import { SECRET_KEYS, secret_state } from "../../secrets.js";
import { debounce, getStringHash as calculateHash, waitUntilCondition, onlyUnique } from "../../utils.js";
const MODULE_NAME = 'vectors';
@ -116,8 +117,9 @@ async function synchronizeChat(batchSize = 5) {
return newVectorItems.length - batchSize;
} catch (error) {
toastr.error('Check server console for more details', 'Vectorization failed');
console.error('Vectors: Failed to synchronize chat', error);
const message = error.cause === 'api_key_missing' ? 'API key missing. Save it in the "API Connections" panel.' : 'Check server console for more details';
toastr.error(message, 'Vectorization failed');
return -1;
} finally {
syncBlocked = false;
@ -287,6 +289,11 @@ async function getSavedHashes(collectionId) {
* @returns {Promise<void>}
*/
async function insertVectorItems(collectionId, items) {
if (settings.source === 'openai' && !secret_state[SECRET_KEYS.OPENAI] ||
settings.source === 'palm' && !secret_state[SECRET_KEYS.PALM]) {
throw new Error('Vectors: API key missing', { cause: 'api_key_missing' });
}
const response = await fetch('/api/vector/insert', {
method: 'POST',
headers: getRequestHeaders(),

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@ -15,6 +15,7 @@
<select id="vectors_source" class="select">
<option value="transformers">Local (Transformers)</option>
<option value="openai">OpenAI</option>
<option value="palm">Google MakerSuite (PaLM)</option>
</select>
<div id="vectors_advanced_settings" data-newbie-hidden>
<label for="vectors_template">

43
src/palm-vectors.js Normal file
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@ -0,0 +1,43 @@
const fetch = require('node-fetch').default;
const { SECRET_KEYS, readSecret } = require('./secrets');
/**
* Gets the vector for the given text from PaLM gecko model
* @param {string} text - The text to get the vector for
* @returns {Promise<number[]>} - The vector for the text
*/
async function getPaLMVector(text) {
const key = readSecret(SECRET_KEYS.PALM);
if (!key) {
console.log('No PaLM key found');
throw new Error('No PaLM key found');
}
const response = await fetch(`https://generativelanguage.googleapis.com/v1beta2/models/embedding-gecko-001:embedText?key=${key}`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
text: text,
})
});
if (!response.ok) {
const text = await response.text();
console.log('PaLM request failed', response.statusText, text);
throw new Error('PaLM request failed');
}
const data = await response.json();
// Access the "value" dictionary
const vector = data.embedding.value;
return vector;
}
module.exports = {
getPaLMVector,
};

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@ -15,6 +15,8 @@ async function getVector(source, text) {
return require('./openai-vectors').getOpenAIVector(text);
case 'transformers':
return require('./embedding').getTransformersVector(text);
case 'palm':
return require('./palm-vectors').getPaLMVector(text);
}
throw new Error(`Unknown vector source ${source}`);