UNPKG

notmebotz-tools

Version:

Sebuah Tools yang berfungsi untuk mendownload Video atau Foto dari media sosial, serta sebagai tools yang berguna untuk aplikasi kamu seperti untuk BOT

116 lines (107 loc) 3.36 kB
const axios = require('axios'); const fs = require('fs'); const venice = { chatbot: async (question, model) => { const modell = ["llama-3.3-70b", "llama-3.2-3b-akash"]; if (!modell.includes(model)) { return { author: 'Herza', status: 400, data: `Invalid model ${modell}` }; } const data = JSON.stringify({ "requestId": "scrape-for-all", "modelId": model, "prompt": [ { "content": question, "role": "user" } ], "systemPrompt": "", "conversationType": "text", "temperature": 0.8, "webEnabled": true, "topP": 0.9, "isCharacter": false, "clientProcessingTime": 2834 }); const config = { method: 'POST', url: 'https://venice.ai/api/inference/chat', headers: { 'User-Agent': 'Mozilla/5.0 (Android 10; Mobile; rv:131.0) Gecko/131.0 Firefox/131.0', 'Content-Type': 'application/json', 'accept-language': 'id-ID', 'referer': 'https://venice.ai/chat', 'x-venice-version': '20241221.032412', 'origin': 'https://venice.ai', 'sec-fetch-dest': 'empty', 'sec-fetch-mode': 'cors', 'sec-fetch-site': 'same-origin', 'priority': 'u=4', 'te': 'trailers' }, data: data }; try { const res = await axios.request(config); const chunks = res.data.split('\n').filter(chunk => chunk).map(chunk => JSON.parse(chunk)); const answer = chunks.map(chunk => chunk.content).join(''); return { author: 'Herza', status: 200, data: answer }; } catch (error) { return { author: 'Herza', status: 500, data: error.message }; } }, txt2img: async (prompt, pathFile) => { const data = JSON.stringify({ "modelId": "fluently-xl-final-akash", "requestId": "INlNFRX", "prompt": prompt, "seed": 15391382, "negativePrompt": "", "cfgScale": 5, "aspectRatio": "1:1", "width": 1024, "height": 1024, "customSeed": "", "steps": 30, "isCustomSeed": false, "isHighRes": false, "safeVenice": true, "stylePreset": "", "hideWatermark": false, "favoriteImageStyles": [], "stylesTab": 0, "loraStrength": 75, "imageToImageStrength": 50, "clientProcessingTime": 3808 }); const config = { method: 'POST', url: 'https://venice.ai/api/inference/image', headers: { 'User-Agent': 'Mozilla/5.0 (Android 10; Mobile; rv:131.0) Gecko/131.0 Firefox/131.0', 'Content-Type': 'application/json', 'accept-language': 'id-ID', 'referer': 'https://venice.ai/chat', 'x-venice-version': '20241221.032412', 'origin': 'https://venice.ai', 'sec-fetch-dest': 'empty', 'sec-fetch-mode': 'cors', 'sec-fetch-site': 'same-origin', 'priority': 'u=4', 'te': 'trailers', }, responseType: 'arraybuffer', data: data }; try { const res = await axios.request(config); const filePath = pathFile; fs.writeFileSync(filePath, res.data); return { author: 'Herza', status: 200, data: 'Image saved successfully!' }; } catch (error) { return { author: 'Herza', status: 500, data: error.message }; } } }; module.exports = { venice };