ollama_api: first version with a working ollama call! see #79
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5 changed files with 175 additions and 12 deletions
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@ -474,5 +474,9 @@
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"ollama_empty_model": {
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"message": "You've not choosen a model for the Ollama API. Please choose one in the options page.",
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"description": ""
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},
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"ollama_api_connecting": {
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"message": "Will attempt to connect to the Ollama Local Server using the host",
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"description": ""
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}
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}
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@ -20,11 +20,25 @@
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* The original code has been released under the Apache License, Version 2.0.
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*/
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// Get the LLM to be used
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const urlParams = new URLSearchParams(window.location.search);
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const llm = urlParams.get('llm');
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console.log(">>>>>>>>>>> llm: " + llm);
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// The controller wires up all the components and workers together,
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// managing the dependencies. A kind of "DI" class.
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const worker = new Worker('model-worker-openai.js', { type: 'module' });
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let worker = null;
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switch (llm) {
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case "chatgpt_api":
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worker = new Worker('model-worker-openai.js', { type: 'module' });
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break;
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case "ollama_api": {
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worker = new Worker('model-worker-ollama.js', { type: 'module' });
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break;
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}
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}
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const messagesArea = document.querySelector('messages-area');
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messagesArea.init(worker);
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@ -55,11 +69,24 @@ let promptData = null;
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// ============================== TESTING - END
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const params = new URLSearchParams(window.location.search);
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let prefs_api = await browser.storage.sync.get({chatgpt_api_key: '', chatgpt_model: ''});
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// const openaiApiKey = params.get('openapi-key');
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//console.log(">>>>>>>>>>> chatgpt_api_key: " + prefs_api_key.chatgpt_api_key);
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worker.postMessage({ type: 'init', chatgpt_api_key: prefs_api.chatgpt_api_key, chatgpt_model: prefs_api.chatgpt_model});
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messagesArea.appendUserMessage(browser.i18n.getMessage("chagtp_api_connecting"), "info");
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switch (llm) {
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case "chatgpt_api":
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let prefs_api = await browser.storage.sync.get({chatgpt_api_key: '', chatgpt_model: ''});
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//console.log(">>>>>>>>>>> chatgpt_api_key: " + prefs_api_key.chatgpt_api_key);
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worker.postMessage({ type: 'init', chatgpt_api_key: prefs_api.chatgpt_api_key, chatgpt_model: prefs_api.chatgpt_model});
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messagesArea.appendUserMessage(browser.i18n.getMessage("chagpt_api_connecting"), "info");
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break;
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case "ollama_api": {
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let prefs_api = await browser.storage.sync.get({ollama_host: '', ollama_model: ''});
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//console.log(">>>>>>>>>>> ollama_host: " + prefs_api_key.ollama_host);
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worker.postMessage({ type: 'init', ollama_host: prefs_api.ollama_host, ollama_model: prefs_api.ollama_model});
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messagesArea.appendUserMessage(browser.i18n.getMessage("ollama_api_connecting") + " " + prefs_api.ollama_host + " ...", "info");
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break;
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}
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}
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// Event listeners for worker messages
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worker.onmessage = function(event) {
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107
api_webchat/model-worker-ollama.js
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107
api_webchat/model-worker-ollama.js
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@ -0,0 +1,107 @@
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/*
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* ThunderAI [https://micz.it/thunderbird-addon-thunderai/]
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* Copyright (C) 2024 Mic (m@micz.it)
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*
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*
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* This file contains a modified version of the code from the project at https://github.com/boxabirds/chatgpt-frontend-nobuild
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* The original code has been released under the Apache License, Version 2.0.
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*/
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import { Ollama } from '../js/api/ollama.js';
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let ollama_host = null;
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let ollama_model = '';
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let ollama = null;
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let conversationHistory = [];
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let assistantResponseAccumulator = '';
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self.onmessage = async function(event) {
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if (event.data.type === 'init') {
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ollama_host = event.data.ollama_host;
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ollama_model = event.data.ollama_model;
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//console.log(">>>>>>>>>>> ollama_host: " + ollama_host);
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ollama = new Ollama(ollama_host, ollama_model, true);
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} else if (event.data.type === 'chatMessage') {
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conversationHistory.push({ role: 'user', content: event.data.message });
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const response = await ollama.fetchResponse(conversationHistory); //4096);
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postMessage({ type: 'messageSent' });
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if (!response.ok) {
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let error_message = '';
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let errorDetail = '';
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if(response.is_exception === true){
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error_message = response.error;
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}else{
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const errorJSON = await response.json();
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errorDetail = JSON.stringify(errorJSON);
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error_message = errorJSON.error;
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//console.log(">>>>>>>>>>>>> errorJSON.error.message: " + JSON.stringify(errorJSON.error.message));
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}
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postMessage({ type: 'error', payload: "Ollama API request failed: " + error_message });
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throw new Error("[ThunderAI] Ollama API request failed: " + response.status + " " + response.statusText + ", Detail: " + errorDetail);
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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while (true) {
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const { done, value } = await reader.read();
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if (done) {
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conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
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assistantResponseAccumulator = '';
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postMessage({ type: 'tokensDone' });
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break;
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}
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// lots of low-level Ollama response parsing stuff
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const chunk = decoder.decode(value); console.log(">>>>>>>>>>>>> chunk: " + chunk);
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const lines = chunk.split("\n");
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const parsedLines = lines
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.map((line) => line.replace(/^chunk: /, "").trim()) // Remove the "chunk: " prefix
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.filter((line) => line !== "" && line !== "[DONE]") // Remove empty lines and "[DONE]"
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.map((line) => JSON.parse(line)); // Parse the JSON string
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for (const parsedLine of parsedLines) {
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const { response } = parsedLine;
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// Update the UI with the new content
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if (response) {
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assistantResponseAccumulator += response;
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postMessage({ type: 'newToken', payload: { token: response } });
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}
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}
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}
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}
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};
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function parsePartialResponse(responseText) {
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// Logica di parsing dei dati parziali
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// Potresti voler spezzare i chunk in linee o altri delimitatori
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const lines = responseText.split("\n");
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// Filtro le linee valide e faccio il parsing di ogni linea JSON
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return lines
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.filter(line => line.trim().length > 0)
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.map(line => {
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try {
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return JSON.parse(line);
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} catch (e) {
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console.warn('Error parsing line:', line);
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return null;
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}
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})
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.filter(parsed => parsed !== null);
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}
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@ -55,4 +55,29 @@ export class Ollama {
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return output;
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}
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fetchResponse = async (messages) => {
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try {
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const response = await fetch(this.host + "/api/generate", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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model: this.model,
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prompt: messages.join(' '),
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stream: this.stream,
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}),
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});
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return response;
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}catch (error) {
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console.error("[ThunderAI] Ollama API request failed: " + error);
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let output = {};
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output.is_exception = true;
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output.ok = false;
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output.error = "Ollama API request failed: " + error;
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return output;
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}
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}
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}
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@ -208,7 +208,7 @@ async function openChatGPT(promptText, action, curr_tabId, prompt_name = '', do_
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case 'chatgpt_api':
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// We are using the ChatGPT API
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let newWindow2 = await browser.windows.create({
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url: browser.runtime.getURL('api_webchat/index.html'),
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url: browser.runtime.getURL('api_webchat/index.html?llm='+prefs.connection_type),
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type: "popup",
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width: prefs.chatgpt_win_width,
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height: prefs.chatgpt_win_height
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@ -239,8 +239,8 @@ async function openChatGPT(promptText, action, curr_tabId, prompt_name = '', do_
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}
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let mailMessage = await browser.messageDisplay.getDisplayedMessage(curr_tabId);
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let mailMessageId = -1;
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if(mailMessage) mailMessageId = mailMessage.id;
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let mailMessageId2 = -1;
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if(mailMessage) mailMessageId2 = mailMessage.id;
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// check if the config is present, or give a message error
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if (prefs.chatgpt_api_key == '') {
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@ -252,13 +252,13 @@ async function openChatGPT(promptText, action, curr_tabId, prompt_name = '', do_
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return;
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}
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browser.tabs.sendMessage(createdTab2.id, { command: "api_send", prompt: promptText, action: action, tabId: curr_tabId, mailMessageId: mailMessageId, do_custom_text: do_custom_text});
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browser.tabs.sendMessage(createdTab2.id, { command: "api_send", prompt: promptText, action: action, tabId: curr_tabId, mailMessageId: mailMessageId2, do_custom_text: do_custom_text});
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break; // chatgpt_api
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case 'ollama_api':
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// We are using the Ollama API
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let newWindow3 = await browser.windows.create({
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url: browser.runtime.getURL('api_webchat/index.html'),
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url: browser.runtime.getURL('api_webchat/index.html?llm='+prefs.connection_type),
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type: "popup",
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width: prefs.chatgpt_win_width,
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height: prefs.chatgpt_win_height
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@ -302,7 +302,7 @@ async function openChatGPT(promptText, action, curr_tabId, prompt_name = '', do_
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return;
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}
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browser.tabs.sendMessage(createdTab3.id, { command: "api_send", prompt: promptText, action: action, tabId: curr_tabId, mailMessageId: mailMessageId, do_custom_text: do_custom_text});
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browser.tabs.sendMessage(createdTab3.id, { command: "api_send", prompt: promptText, action: action, tabId: curr_tabId, mailMessageId: mailMessageId3, do_custom_text: do_custom_text});
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break; // ollama_api
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}
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}
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