mirror of
https://github.com/nomic-ai/gpt4all-ui.git
synced 2024-09-16 14:32:40 +00:00
fixed code
This commit is contained in:
Saifeddine ALOUI
parent
f7e0742a50
commit
7a0290d6b6
@ -186,6 +186,8 @@ class LollmsClient {
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switch (this.default_generation_mode) {
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case ELF_GENERATION_FORMAT.LOLLMS:
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return this.lollms_generate_with_images(prompt, images, this.host_address, this.model_name, -1, n_predict, stream, temperature, top_k, top_p, repeat_penalty, repeat_last_n, seed, n_threads, service_key, streamingCallback);
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case ELF_GENERATION_FORMAT.OPENAI:
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return this.openai_generate_with_images(prompt, images, this.host_address, this.model_name, -1, n_predict, stream, temperature, top_k, top_p, repeat_penalty, repeat_last_n, seed, n_threads, ELF_COMPLETION_FORMAT.INSTRUCT, service_key, streamingCallback);
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default:
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throw new Error('Invalid generation mode');
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}
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@ -385,6 +387,330 @@ async openai_generate(prompt, host_address = this.host_address, model_name = thi
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}
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}
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async openai_generate_with_images(prompt, images, options = {}) {
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const {
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host_address = this.host_address,
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model_name = this.model_name,
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personality = this.personality,
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n_predict = this.n_predict,
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stream = false,
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temperature = this.temperature,
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top_k = this.top_k,
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top_p = this.top_p,
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repeat_penalty = this.repeat_penalty,
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repeat_last_n = this.repeat_last_n,
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seed = this.seed,
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n_threads = this.n_threads,
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max_image_width = -1,
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service_key = this.service_key,
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streamingCallback = null,
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} = options;
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const headers = {
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'Content-Type': 'application/json',
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...(service_key ? { 'Authorization': `Bearer ${service_key}` } : {})
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};
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const data = {
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model: model_name,
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messages: [
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{
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role: "user",
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content: [
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{
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type: "text",
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text: prompt
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},
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...images.map(image_path => ({
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type: "image_url",
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image_url: {
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url: `data:image/jpeg;base64,${this.encode_image(image_path, max_image_width)}`
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}
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}))
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]
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}
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],
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stream: true,
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temperature: parseFloat(temperature),
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max_tokens: n_predict
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};
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const completion_format_path = "/v1/chat/completions";
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const url = `${host_address.endsWith("/") ? host_address.slice(0, -1) : host_address}${completion_format_path}`;
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try {
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const response = await fetch(url, {
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method: 'POST',
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headers: headers,
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body: JSON.stringify(data)
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});
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if (!response.ok) {
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const content = await response.json();
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if (response.status === 400) {
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this.error(content.error?.message || content.message);
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} else if (response.status === 404) {
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console.error(await response.text());
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}
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return;
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder();
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let text = "";
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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const chunk = decoder.decode(value);
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const lines = chunk.split('\n');
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for (const line of lines) {
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if (line.startsWith("data: ")) {
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try {
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const jsonData = JSON.parse(line.slice(5).trim());
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const content = jsonData.choices[0]?.delta?.content || "";
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text += content;
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if (streamingCallback) {
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if (!streamingCallback(content, "MSG_TYPE_CHUNK")) {
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return text;
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}
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}
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} catch (error) {
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// Handle JSON parsing error
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}
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} else if (line.startsWith("{")) {
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try {
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const jsonData = JSON.parse(line);
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if (jsonData.object === "error") {
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this.error(jsonData.message);
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return text;
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}
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} catch (error) {
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this.error("Couldn't generate text, verify your key or model name");
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}
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} else {
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text += line;
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if (streamingCallback) {
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if (!streamingCallback(line, "MSG_TYPE_CHUNK")) {
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return text;
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}
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}
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}
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}
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}
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return text;
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} catch (error) {
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console.error("Error in openai_generate_with_images:", error);
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throw error;
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}
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}
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async encode_image(image_path, max_image_width = -1) {
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// In a browser environment, we'll use the File API and canvas
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// For Node.js, you'd need to use libraries like 'sharp' or 'jimp'
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return new Promise((resolve, reject) => {
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const img = new Image();
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img.onload = () => {
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let width = img.width;
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let height = img.height;
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// Resize if necessary
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if (max_image_width !== -1 && width > max_image_width) {
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const ratio = max_image_width / width;
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width = max_image_width;
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height = Math.round(height * ratio);
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}
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// Create a canvas to draw the image
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const canvas = document.createElement('canvas');
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canvas.width = width;
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canvas.height = height;
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const ctx = canvas.getContext('2d');
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// Draw the image on the canvas
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ctx.drawImage(img, 0, 0, width, height);
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// Convert to base64
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const base64Image = canvas.toDataURL('image/jpeg').split(',')[1];
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resolve(base64Image);
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};
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img.onerror = (error) => reject(error);
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// Load the image from the provided path
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img.src = image_path;
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});
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}
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async generateCode(prompt, images = [], {
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n_predict = null,
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stream = false,
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temperature = 0.1,
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top_k = 50,
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top_p = 0.95,
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repeat_penalty = 0.8,
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repeat_last_n = 40,
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seed = null,
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n_threads = 8,
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service_key = "",
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streamingCallback = null
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} = {}){
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let response;
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const systemHeader = this.custom_message("Generation infos");
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const codeInstructions = "Generated code must be put inside the adequate markdown code tag. Use this template:\n```language name\nCode\n```\nMake sure only a single code tag is generated at each dialogue turn.";
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const fullPrompt = systemHeader + codeInstructions + this.separatorTemplate + prompt;
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if (images.length > 0) {
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response = await this.generate_with_images(fullPrompt, images, {
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n_predict: n_predict,
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temperature: temperature,
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top_k: top_k,
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top_p: top_p,
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repeat_penalty: repeat_penalty,
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repeat_last_n: repeat_last_n,
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callback: streamingCallback
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});
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} else {
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response = await this.generate(fullPrompt, {
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n_predict: n_predict,
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temperature: temperature,
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top_k: top_k,
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top_p: top_p,
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repeat_penalty: repeat_penalty,
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repeat_last_n: repeat_last_n,
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callback: streamingCallback
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});
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}
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const codes = this.extractCodeBlocks(response);
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if (codes.length > 0) {
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let code = '';
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if (!codes[0].is_complete) {
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code = codes[0].content.split('\n').slice(0, -1).join('\n');
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while (!codes[0].is_complete) {
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console.warn("The AI did not finish the code, let's ask it to continue")
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const continuePrompt = prompt + code + this.userFullHeader + "continue the code. Rewrite last line and continue the code." + this.separatorTemplate + this.aiFullHeader;
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response = await this.generate(fullPrompt, {
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n_predict: n_predict,
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temperature: temperature,
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top_k: top_k,
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top_p: top_p,
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repeat_penalty: repeat_penalty,
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repeat_last_n: repeat_last_n,
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callback: streamingCallback
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});
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const newCodes = this.extractCodeBlocks(response);
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if (newCodes.length === 0) break;
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if (!newCodes[0].is_complete) {
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code += '\n' + newCodes[0].content.split('\n').slice(0, -1).join('\n');
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} else {
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code += '\n' + newCodes[0].content;
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}
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}
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} else {
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code = codes[0].content;
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}
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return code;
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} else {
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return null;
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}
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}
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extractCodeBlocks(text) {
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const codeBlocks = [];
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let remaining = text;
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let blocIndex = 0;
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let firstIndex = 0;
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const indices = [];
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// Find all code block delimiters
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while (remaining.length > 0) {
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const index = remaining.indexOf("```");
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if (index === -1) {
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if (blocIndex % 2 === 1) {
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indices.push(remaining.length + firstIndex);
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}
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break;
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}
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indices.push(index + firstIndex);
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remaining = remaining.slice(index + 3);
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firstIndex += index + 3;
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blocIndex++;
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}
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let isStart = true;
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for (let i = 0; i < indices.length; i++) {
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if (isStart) {
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const blockInfo = {
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index: i,
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file_name: "",
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section: "",
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content: "",
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type: "",
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is_complete: false
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};
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// Check for file name in preceding line
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const precedingText = text.slice(0, indices[i]).trim().split('\n');
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if (precedingText.length > 0) {
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const lastLine = precedingText[precedingText.length - 1].trim();
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if (lastLine.startsWith("<file_name>") && lastLine.endsWith("</file_name>")) {
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blockInfo.file_name = lastLine.slice("<file_name>".length, -"</file_name>".length).trim();
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} else if (lastLine.startsWith("## filename:")) {
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blockInfo.file_name = lastLine.slice("## filename:".length).trim();
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}
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if (lastLine.startsWith("<section>") && lastLine.endsWith("</section>")) {
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blockInfo.section = lastLine.slice("<section>".length, -"</section>".length).trim();
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}
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}
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const subText = text.slice(indices[i] + 3);
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if (subText.length > 0) {
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const findSpace = subText.indexOf(" ");
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const findReturn = subText.indexOf("\n");
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let nextIndex = Math.min(findSpace === -1 ? Infinity : findSpace, findReturn === -1 ? Infinity : findReturn);
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if (subText.slice(0, nextIndex).includes('{')) {
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nextIndex = 0;
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}
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const startPos = nextIndex;
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if (text[indices[i] + 3] === "\n" || text[indices[i] + 3] === " " || text[indices[i] + 3] === "\t") {
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blockInfo.type = 'language-specific';
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} else {
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blockInfo.type = subText.slice(0, nextIndex);
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}
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if (i + 1 < indices.length) {
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const nextPos = indices[i + 1] - indices[i];
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if (nextPos - 3 < subText.length && subText[nextPos - 3] === "`") {
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blockInfo.content = subText.slice(startPos, nextPos - 3).trim();
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blockInfo.is_complete = true;
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} else {
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blockInfo.content = subText.slice(startPos, nextPos).trim();
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blockInfo.is_complete = false;
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}
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} else {
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blockInfo.content = subText.slice(startPos).trim();
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blockInfo.is_complete = false;
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}
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codeBlocks.push(blockInfo);
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}
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isStart = false;
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} else {
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isStart = true;
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}
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}
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return codeBlocks;
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}
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async listMountedPersonalities(host_address = this.host_address) {
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const url = `${host_address}/list_mounted_personalities`;
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@ -785,34 +1111,95 @@ buildPrompt(promptParts, sacrificeId = -1, contextSize = null, minimumSpareConte
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}
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extractCodeBlocks(text) {
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const codeBlockRegex = /```([\s\S]*?)```/g;
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const codeBlocks = [];
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let match;
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let index = 0;
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let remaining = text;
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let blocIndex = 0;
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let firstIndex = 0;
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const indices = [];
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while ((match = codeBlockRegex.exec(text)) !== null) {
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const [fullMatch, content] = match;
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const blockLines = content.trim().split('\n');
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let type = 'language-specific';
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let blockContent = content.trim();
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// Check if the first line is a language specifier
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if (blockLines.length > 1 && blockLines[0].trim().length > 0 && !blockLines[0].includes(' ')) {
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type = blockLines[0].trim().toLowerCase();
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blockContent = blockLines.slice(1).join('\n').trim();
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// Find all code block delimiters
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while (remaining.length > 0) {
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const index = remaining.indexOf("```");
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if (index === -1) {
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if (blocIndex % 2 === 1) {
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indices.push(remaining.length + firstIndex);
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}
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break;
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}
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indices.push(index + firstIndex);
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remaining = remaining.slice(index + 3);
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firstIndex += index + 3;
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blocIndex++;
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}
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codeBlocks.push({
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index: index++,
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file_name: '',
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content: blockContent,
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type: type
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});
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let isStart = true;
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for (let i = 0; i < indices.length; i++) {
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if (isStart) {
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const blockInfo = {
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index: i,
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file_name: "",
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section: "",
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content: "",
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type: "",
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is_complete: false
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};
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// Check for file name in preceding line
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const precedingText = text.slice(0, indices[i]).trim().split('\n');
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if (precedingText.length > 0) {
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const lastLine = precedingText[precedingText.length - 1].trim();
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if (lastLine.startsWith("<file_name>") && lastLine.endsWith("</file_name>")) {
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blockInfo.file_name = lastLine.slice("<file_name>".length, -"</file_name>".length).trim();
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} else if (lastLine.startsWith("## filename:")) {
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blockInfo.file_name = lastLine.slice("## filename:".length).trim();
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}
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if (lastLine.startsWith("<section>") && lastLine.endsWith("</section>")) {
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blockInfo.section = lastLine.slice("<section>".length, -"</section>".length).trim();
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}
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}
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const subText = text.slice(indices[i] + 3);
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if (subText.length > 0) {
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const findSpace = subText.indexOf(" ");
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const findReturn = subText.indexOf("\n");
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let nextIndex = Math.min(findSpace === -1 ? Infinity : findSpace, findReturn === -1 ? Infinity : findReturn);
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if (subText.slice(0, nextIndex).includes('{')) {
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nextIndex = 0;
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}
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const startPos = nextIndex;
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if (text[indices[i] + 3] === "\n" || text[indices[i] + 3] === " " || text[indices[i] + 3] === "\t") {
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blockInfo.type = 'language-specific';
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} else {
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blockInfo.type = subText.slice(0, nextIndex);
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}
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if (i + 1 < indices.length) {
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const nextPos = indices[i + 1] - indices[i];
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if (nextPos - 3 < subText.length && subText[nextPos - 3] === "`") {
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blockInfo.content = subText.slice(startPos, nextPos - 3).trim();
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blockInfo.is_complete = true;
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} else {
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blockInfo.content = subText.slice(startPos, nextPos).trim();
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blockInfo.is_complete = false;
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}
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} else {
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blockInfo.content = subText.slice(startPos).trim();
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blockInfo.is_complete = false;
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}
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codeBlocks.push(blockInfo);
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}
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isStart = false;
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} else {
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isStart = true;
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}
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}
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return codeBlocks;
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}
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/**
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* Updates the given code based on the provided query string.
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* The query string can contain two types of modifications:
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