改用支持图片的 AI 模型
qwen-turbo 仅支持文字，要想体验图片聊天，需改用 qwen-vl-plus
src/initData.ts
{id: 2,name: "aliyun",title: "阿里 -- 通义千问",desc: "阿里百炼 -- 通义千问",// https://help.aliyun.com/zh/dashscope/developer-reference/api-details?spm=a2c4g.11186623.0.0.5bf41507xgULX5#b148acc634pfcmodels: ["qwen-turbo", "qwen-vl-plus"],avatar:"https://qph.cf2.poecdn.net/main-thumb-pb-4160791-200-qlqunomdvkyitpedtghnhsgjlutapgfl.jpeg",},
安装依赖 mime-types
用于便捷获取图片的类型
npm i mime-types @types/mime-types --save-dev
提问框中选择本地图片
src/components/MessageInput.vue
<template><divclass="message-input w-full shadow-sm border rounded-lg border-gray-300 py-1 px-2 focus-within:border-green-700"><div v-if="imagePreview" class="my-2 relative inline-block"><img:src="imagePreview"alt="Preview"class="h-24 w-24 object-cover rounded"/><Iconicon="lets-icons:dell-fill"width="24"@click="delImg"class="absolute top-[-10px] right-[-10px] p-1 rounded-full cursor-pointer"/></div><div class="flex items-center"><inputtype="file"accept="image/*"ref="fileInput"class="hidden"@change="handleImageUpload"/><Iconicon="radix-icons:image"width="24"height="24":class="['mr-2',disabled? 'text-gray-300 cursor-not-allowed': 'text-gray-400 cursor-pointer hover:text-gray-600',]"@click="triggerFileInput"/><inputclass="outline-none border-0 flex-1 bg-white focus:ring-0"type="text"ref="ref_input"v-model="model":disabled="disabled":placeholder="tip"@keydown.enter="onCreate"/><Buttonicon-name="radix-icons:paper-plane"@click="onCreate":disabled="disabled">发送</Button></div></div>
</template><script lang="ts" setup>
import { ref } from "vue";
import { Icon } from "@iconify/vue";import Button from "./Button.vue";const props = defineProps<{disabled?: boolean;
}>();
const emit = defineEmits<{create: [value: string, imagePath?: string];
}>();
const model = defineModel<string>();
const fileInput = ref<HTMLInputElement | null>(null);
const imagePreview = ref("");
const triggerFileInput = () => {if (!props.disabled) {fileInput.value?.click();}
};
const tip = ref("");
let selectedImage: File | null = null;
const handleImageUpload = (event: Event) => {const target = event.target as HTMLInputElement;if (target.files && target.files.length > 0) {selectedImage = target.files[0];const reader = new FileReader();reader.onload = (e) => {imagePreview.value = e.target?.result as string;};reader.readAsDataURL(selectedImage);}
};
const onCreate = async () => {if (model.value && model.value.trim() !== "") {if (selectedImage) {const filePath = window.electronAPI.getFilePath(selectedImage);emit("create", model.value, filePath);} else {emit("create", model.value);}selectedImage = null;imagePreview.value = "";} else {tip.value = "请输入问题";}
};
const ref_input = ref<HTMLInputElement | null>(null);const delImg = () => {selectedImage = null;imagePreview.value = "";
};defineExpose({ref_input: ref_input,
});
</script><style scoped>
input::placeholder {color: red;
}
</style>
src/preload.ts
需借助 webUtils 从 File 对象中获取文件路径
import { ipcRenderer, contextBridge, webUtils } from "electron";
getFilePath: (file: File) => webUtils.getPathForFile(file),
将选择的图片，转存到应用的用户目录
图片很占空间，转为字符串直接存入数据库压力过大，合理的方案是存到应用本地
src/views/Home.vue
在创建会话时执行
const createConversation = async (question: string, imagePath?: string) => {const [AI_providerName, AI_modelName] = currentProvider.value.split("/");let copiedImagePath: string | undefined;if (imagePath) {try {copiedImagePath = await window.electronAPI.copyImageToUserDir(imagePath);} catch (error) {console.error("拷贝图片失败:", error);}}// 用 dayjs 得到格式化的当前时间字符串const currentTime = dayjs().format("YYYY-MM-DD HH:mm:ss");// pinia 中新建会话，得到新的会话idconst conversationId = await conversationStore.createConversation({title: question,AI_providerName,AI_modelName,createdAt: currentTime,updatedAt: currentTime,msgList: [{type: "question",content: question,// 如果有图片路径，则将其添加到消息中...(copiedImagePath && { imagePath: copiedImagePath }),createdAt: currentTime,updatedAt: currentTime,},{type: "answer",content: "",status: "loading",createdAt: currentTime,updatedAt: currentTime,},],});// 更新当前选中的会话conversationStore.selectedId = conversationId;// 右侧界面--跳转到会话页面 -- 带参数 init 为新创建的会话的第一条消息idrouter.push(`/conversation/${conversationId}?type=new`);
};
src/preload.ts
// 拷贝图片到本地用户目录copyImageToUserDir: (sourcePath: string) =>ipcRenderer.invoke("copy-image-to-user-dir", sourcePath),
src/ipc.ts
// 拷贝图片到本地用户目录ipcMain.handle("copy-image-to-user-dir",async (event, sourcePath: string) => {const userDataPath = app.getPath("userData");const imagesDir = path.join(userDataPath, "images");await fs.mkdir(imagesDir, { recursive: true });const fileName = path.basename(sourcePath);const destPath = path.join(imagesDir, fileName);await fs.copyFile(sourcePath, destPath);return destPath;});
将图片信息传给 AI
src/views/Conversation.vue
发起 AI 聊天传图片参数
// 访问 AI 模型，获取答案
const get_AI_answer = async (answerIndex: number) => {await window.electronAPI.startChat({messageId: answerIndex,providerName: convsersation.value!.AI_providerName,selectedModel: convsersation.value!.AI_modelName,// 发给AI模型的消息需移除最后一条加载状态的消息,使最后一条消息为用户的提问messages: convsersation.value!.msgList.map((message) => ({role: message.type === "question" ? "user" : "assistant",content: message.content,// 若有图片信息，则将其添加到消息中...(message.imagePath && { imagePath: message.imagePath }),})).slice(0, -1),});
};
继续向 AI 提问时图片参数
const sendNewMessage = async (question: string, imagePath?: string) => {let copiedImagePath: string | undefined;if (imagePath) {try {copiedImagePath = await window.electronAPI.copyImageToUserDir(imagePath);} catch (error) {console.error("拷贝图片失败:", error);}}// 获取格式化的当前时间let currentTime = dayjs().format("YYYY-MM-DD HH:mm:ss");// 向消息列表中追加新的问题convsersation.value!.msgList.push({type: "question",content: question,...(copiedImagePath && { imagePath: copiedImagePath }),createdAt: currentTime,updatedAt: currentTime,});// 向消息列表中追加 loading 状态的回答let new_msgList_length = convsersation.value!.msgList.push({type: "answer",content: "",createdAt: currentTime,updatedAt: currentTime,status: "loading",});// 消息列表的最后一条消息为 loading 状态的回答，其id为消息列表的长度 - 1let loading_msg_id = new_msgList_length - 1;// 访问 AI 模型获取答案，参数为 loading 状态的消息的idget_AI_answer(loading_msg_id);// 清空问题输入框inputValue.value = "";await messageScrollToBottom();// 发送问题后，问题输入框自动聚焦if (dom_MessageInput.value) {dom_MessageInput.value.ref_input.focus();}
};
src/providers/OpenAIProvider.ts
将消息转换为 AI 模型需要的格式后传给 AI
import OpenAI from "openai";
import { convertMessages } from "../util";interface ChatMessageProps {role: string;content: string;imagePath?: string;
}interface UniversalChunkProps {is_end: boolean;result: string;
}export class OpenAIProvider {private client: OpenAI;constructor(apiKey: string, baseURL: string) {this.client = new OpenAI({apiKey,baseURL,});}async chat(messages: ChatMessageProps[], model: string) {// 将消息转换为AI模型需要的格式const convertedMessages = await convertMessages(messages);const stream = await this.client.chat.completions.create({model,messages: convertedMessages as any,stream: true,});const self = this;return {async *[Symbol.asyncIterator]() {for await (const chunk of stream) {yield self.transformResponse(chunk);}},};}protected transformResponse(chunk: OpenAI.Chat.Completions.ChatCompletionChunk): UniversalChunkProps {const choice = chunk.choices[0];return {is_end: choice.finish_reason === "stop",result: choice.delta.content || "",};}
}
src/util.ts
函数封装 – 将消息转换为 AI 模型需要的格式
import fs from 'fs/promises'
import { lookup } from 'mime-types'
export async function convertMessages( messages: { role: string; content: string, imagePath?: string}[]) {const convertedMessages = []for (const message of messages) {let convertedContent: string | any[]if (message.imagePath) {const imageBuffer = await fs.readFile(message.imagePath)const base64Image = imageBuffer.toString('base64')const mimeType = lookup(message.imagePath)convertedContent = [{type: "text",text: message.content || ""},{type: 'image_url',image_url: {url: `data:${mimeType};base64,${base64Image}`}}]} else {convertedContent = message.content}const { imagePath, ...messageWithoutImagePath } = messageconvertedMessages.push({...messageWithoutImagePath,content: convertedContent})}return convertedMessages
}
加载消息记录中的图片
渲染进程中，无法直接读取本地图片，需借助 protocol 实现
src/main.ts
import { app, BrowserWindow, protocol, net } from "electron";
import { pathToFileURL } from "node:url";
import path from "node:path";// windows 操作系统必要
protocol.registerSchemesAsPrivileged([{scheme: "safe-file",privileges: {standard: true,secure: true,supportFetchAPI: true,},},
]);
在 createWindow 方法内执行
protocol.handle("safe-file", async (request) => {const userDataPath = app.getPath("userData");const imageDir = path.join(userDataPath, "images");// 去除协议头 safe-file://，解码 URL 中的路径const filePath = path.join(decodeURIComponent(request.url.slice("safe-file:/".length)));const filename = path.basename(filePath);const fileAddr = path.join(imageDir, filename);// 转换为 file:// URLconst newFilePath = pathToFileURL(fileAddr).toString();// 使用 net.fetch 加载本地文件return net.fetch(newFilePath);});
页面中渲染图片
src/components/MessageList.vue
img 的 src 添加了 safe-file:// 协议
<div v-if="message.type === 'question'"><div class="mb-3 flex justify-end"><imgv-if="message.imagePath":src="`safe-file://${message.imagePath}`"alt="提问的配图"class="h-24 w-24 object-cover rounded"/></div><divclass="message-question bg-green-700 text-white p-2 rounded-md">{{ message.content }}</div></div>
最终效果
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