initial

.gitattributes

@@ -0,0 +1,2 @@
+*.ttf filter=lfs diff=lfs merge=lfs -text
+fonts/*.ttf filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,42 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+
+# Runtime data
+pids
+*.pid
+*.seed
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (http://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules
+jspm_packages
+
+# Optional npm cache directory
+.npm
+
+# Optional REPL history
+.node_repl_history
+
+#jekyll
+_site
+.jekyll-cache
+

.gitpod.yml

@@ -0,0 +1,11 @@
+# This configuration file was automatically generated by Gitpod.
+# Please adjust to your needs (see https://www.gitpod.io/docs/introduction/learn-gitpod/gitpod-yaml)
+# and commit this file to your remote git repository to share the goodness with others.
+
+# Learn more from ready-to-use templates: https://www.gitpod.io/docs/introduction/getting-started/quickstart
+
+tasks:
+  - init: npm install && npm run build
+    command: npm run start
+
+

Dockerfile

@@ -0,0 +1,20 @@
+# Use an official Node.js runtime as the base image
+FROM node:18
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy package.json and package-lock.json to the working directory
+COPY package*.json ./
+
+# Install application dependencies
+RUN npm install
+
+# Copy the rest of the application code to the container
+COPY . .
+
+# Expose the port that your Express.js application will listen on
+EXPOSE 3000
+
+# Define the command to run your application when the container starts
+CMD ["node", "app.js"]

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2017 Dan Marshall
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+title: SVGTEXT
+emoji: 🐳
+colorFrom: purple
+colorTo: gray
+sdk: docker
+app_port: 3000
+---

app.js

@@ -0,0 +1,719 @@
+const express = require("express");
+const cors = require("cors");
+const opentype = require("opentype.js");
+const makerjs = require("makerjs");
+const wawoff2 = require("wawoff2");
+const xml2js = require("xml2js");
+const axios = require("axios");
+const fs = require("fs").promises;
+const os = require("os");
+const path = require("path");
+const getImageOutline = require("image-outline");
+const Tesseract = require("tesseract.js");
+const app = express();
+
+const FormData = require("form-data");
+
+class Kolors {
+  constructor() {
+    this.commonHeaders = {
+      accept: "*/*",
+      "accept-language": "en-US,en;q=0.9",
+      priority: "u=1, i",
+      referer: "https://kwai-kolors-kolors.hf.space/?__theme=dark",
+      origin: "https://kwai-kolors-kolors.hf.space",
+    };
+  }
+
+  async processRequest(method, url, headers = {}, data = null, files = null) {
+    const config = {
+      method,
+      url,
+      headers,
+      data,
+      responseType: "text",
+    };
+
+    if (files) {
+      const form = new FormData();
+      for (const [name, file] of Object.entries(files)) {
+        form.append(name, fs.createReadStream(file.path), {
+          filename: file.name,
+          contentType: "image/webp",
+        });
+      }
+      config.data = form;
+      config.headers = {
+        ...headers,
+        ...form.getHeaders(),
+      };
+    } else if (data) {
+      config.data = data;
+    }
+
+    try {
+      const response = await axios(config);
+      console.log(response.status);
+      console.log(response.data);
+      return response.data;
+    } catch (error) {
+      console.error("Error in processRequest:", error);
+      throw error;
+    }
+  }
+
+  async uploadImage(imagePath) {
+    const url =
+      "https://kwai-kolors-kolors.hf.space/upload?upload_id=uppaw4kwm5";
+    const headers = {
+      ...this.commonHeaders,
+      "content-type": "multipart/form-data",
+    };
+
+    const responseText = await this.processRequest("post", url, headers, null, {
+      image: {
+        path: imagePath,
+        name: "image.webp",
+      },
+    });
+    const filePath = responseText.replace(/[\[\]"\\\n]/g, "");
+    return filePath;
+  }
+
+  async getJwtToken() {
+    const generateTimestamp = () =>
+      encodeURIComponent(new Date().toISOString());
+    const url = `https://huggingface.co/api/spaces/Kwai-Kolors/Kolors/jwt?expiration=${generateTimestamp()}`;
+    const responseText = await this.processRequest(
+      "get",
+      url,
+      this.commonHeaders
+    );
+    const responseJson = JSON.parse(responseText);
+    return responseJson.token;
+  }
+
+  async getQueueData(sessionHash) {
+    const url = `https://kwai-kolors-kolors.hf.space/queue/data?session_hash=${sessionHash}`;
+    const headers = {
+      ...this.commonHeaders,
+      accept: "text/event-stream",
+      "content-type": "application/json",
+    };
+
+    try {
+      const response = await axios.get(url, {
+        headers,
+        responseType: "stream",
+      });
+      return new Promise((resolve, reject) => {
+        let timeoutId = setTimeout(() => {
+          response.data.destroy(); // Close the stream
+          resolve(sessionHash); // Return session_hash if timeout occurs
+        }, 3000); // 3 seconds timeout
+
+        response.data.on("data", (chunk) => {
+          const lines = chunk
+            .toString()
+            .split("\n")
+            .filter((line) => line.startsWith("data: "));
+          lines.forEach((line) => {
+            console.log(line);
+            const eventData = line.substring(6);
+            const eventJson = JSON.parse(eventData);
+            if (eventJson.msg === "process_completed") {
+              clearTimeout(timeoutId); // Clear the timeout
+              const outputData = eventJson.output?.data || [];
+              if (outputData.length > 0) {
+                const fileInfo = outputData[0];
+                resolve(fileInfo.url);
+                response.data.destroy(); // Close the stream
+              }
+            }
+          });
+        });
+
+        response.data.on("end", () => {
+          clearTimeout(timeoutId); // Clear the timeout
+          reject(new Error("Stream ended without completion"));
+          response.data.destroy(); // Close the stream
+        });
+
+        response.data.on("error", (err) => {
+          clearTimeout(timeoutId); // Clear the timeout
+          reject(err);
+          response.data.destroy(); // Close the stream
+        });
+
+        response.data.on("close", () => {
+          console.log("Stream closed");
+        });
+      });
+    } catch (error) {
+      console.error("Error in getQueueData:", error);
+      throw error;
+    }
+  }
+
+  async joinQueue(sessionHash, fileUrl, jwtToken, prompt) {
+    const url = "https://kwai-kolors-kolors.hf.space/queue/join?__theme=dark";
+    const headers = {
+      ...this.commonHeaders,
+      "content-type": "application/json",
+      "x-zerogpu-token": jwtToken,
+      origin: "https://kwai-kolors-kolors.hf.space",
+    };
+
+    const data = {
+      data: [
+        prompt,
+        {
+          path: fileUrl,
+          url: `https://kwai-kolors-kolors.hf.space/file=${fileUrl}`,
+          orig_name: "image.webp",
+          size: 172602,
+          mime_type: "image/webp",
+          meta: {
+            _type: "gradio.FileData",
+          },
+        },
+        0.3,
+        "",
+        0,
+        true,
+        1024,
+        1536,
+        5,
+        25,
+      ],
+      event_data: null,
+      fn_index: 2,
+      trigger_id: 26,
+      session_hash: sessionHash,
+    };
+
+    const responseText = await this.processRequest("post", url, headers, data);
+    return responseText;
+  }
+
+  generateSessionHash() {
+    const length = 11;
+    const charset =
+      "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
+    let result = "";
+    for (let i = 0; i < length; i++) {
+      const randomIndex = Math.floor(Math.random() * charset.length);
+      result += charset[randomIndex];
+    }
+    return result;
+  }
+}
+app.use(cors());
+app.use(express.json());
+app.use(express.urlencoded({ extended: true }));
+
+// Function to convert polygon data to SVG path
+function polygonToSVGPath(polygon) {
+  if (!polygon || polygon.length === 0) {
+    return ""; // Return empty string if polygon is invalid
+  }
+
+  // Construct the SVG path string
+  let pathString = `M${polygon[0].x},${polygon[0].y}`; // Move to the first point
+  for (let i = 1; i < polygon.length; i++) {
+    pathString += ` L${polygon[i].x},${polygon[i].y}`; // Line to the next point
+  }
+  pathString += " Z"; // Close the path
+
+  return pathString;
+}
+
+function handleRequest(err, loadedFont, config) {
+  const [
+    text,
+    fontName,
+    size,
+    union,
+    filled,
+    kerning,
+    separate,
+    bezierAccuracy,
+    units,
+    fill,
+    stroke,
+    strokeWidth,
+    strokeNonScaling,
+    fillRule,
+    individualLetters,
+    res,
+  ] = config;
+
+  if (err) {
+    console.error("Font could not be loaded:", err);
+    return res.status(500).json({ error: err.message });
+  }
+
+  if (individualLetters) {
+    // Generate individual SVGs for each letter and store them in a JSON object
+    const individualSVGs = {};
+    for (let i = 0; i < text.length; i++) {
+      const letter = text[i];
+      const result = callMakerjs(
+        loadedFont,
+        letter,
+        size,
+        union,
+        filled,
+        kerning,
+        separate,
+        bezierAccuracy,
+        units,
+        fill,
+        stroke,
+        strokeWidth,
+        strokeNonScaling,
+        fillRule
+      );
+      let temp;
+      xml2js.parseString(
+        result.svg,
+        {
+          explicitArray: false,
+        },
+        function (err, result) {
+          if (!err) {
+            // Now 'result' contains the JSON representation of the SVG
+            temp = result;
+          } else {
+            console.error(err);
+          }
+        }
+      );
+
+      individualSVGs[letter] = temp;
+    }
+    res.status(200).json(individualSVGs); // Return JSON object
+  } else {
+    // Generate a single SVG for the entire text
+    const result = callMakerjs(
+      loadedFont,
+      text,
+      size,
+      union,
+      filled,
+      kerning,
+      separate,
+      bezierAccuracy,
+      units,
+      fill,
+      stroke,
+      strokeWidth,
+      strokeNonScaling,
+      fillRule
+    );
+    res.status(200).send(result.svg);
+  }
+}
+
+async function downloadAndSaveFont(fontUrl) {
+  const tempDir = path.join(os.tmpdir(), "downloaded-or-converted-fonts");
+
+  try {
+    await fs.access(tempDir);
+  } catch (error) {
+    await fs.mkdir(tempDir, { recursive: true });
+  }
+
+  try {
+    const response = await axios.get(fontUrl, {
+      responseType: "arraybuffer",
+      headers: {
+        "Accept-Encoding": "identity",
+      },
+    });
+
+    let filename =
+      response.headers["content-disposition"]?.match(
+        /filename=['"]?(.+)['"]?/
+      )?.[1] || new URL(fontUrl).pathname.split("/").pop();
+
+    const fontPath = path.join(tempDir, filename);
+    await fs.writeFile(fontPath, response.data);
+
+    // Check if the file needs to be decompressed from WOFF2 to TTF
+    if (filename.endsWith(".woff2")) {
+      try {
+        const fontBuffer = await fs.readFile(fontPath);
+        const decompressedBuffer = await wawoff2.decompress(fontBuffer);
+        const ttfFilename = filename.replace(".woff2", ".ttf");
+        const ttfFontPath = path.join(tempDir, ttfFilename);
+        await fs.writeFile(ttfFontPath, decompressedBuffer);
+        console.log("Font decompressed and saved successfully.");
+        return ttfFontPath;
+      } catch (decompressionError) {
+        console.error("Error decompressing the font:", decompressionError);
+        throw decompressionError;
+      }
+    }
+
+    return fontPath;
+  } catch (error) {
+    console.error("Error processing the font:", error);
+    throw error;
+  }
+}
+
+function callMakerjs(
+  font,
+  text,
+  size,
+  union,
+  filled,
+  kerning,
+  separate,
+  bezierAccuracy,
+  units,
+  fill,
+  stroke,
+  strokeWidth,
+  strokeNonScaling,
+  fillRule
+) {
+  // Generate the text using a font
+  var textModel = new makerjs.models.Text(
+    font,
+    text,
+    size,
+    union,
+    false,
+    bezierAccuracy,
+    { kerning }
+  );
+
+  if (separate) {
+    for (var i in textModel.models) {
+      textModel.models[i].layer = i;
+    }
+  }
+
+  var svg = makerjs.exporter.toSVG(textModel, {
+    fill: filled ? fill : undefined,
+    stroke: stroke ? stroke : undefined,
+    strokeWidth: strokeWidth ? strokeWidth : undefined,
+    fillRule: fillRule ? fillRule : undefined,
+    scalingStroke: !strokeNonScaling,
+  });
+
+  var dxf = makerjs.exporter.toDXF(textModel, {
+    units: units,
+    usePOLYLINE: true,
+  });
+
+  return { svg, dxf };
+}
+
+// Helper function to download an image from a URL
+async function downloadImage(url, dest) {
+  const writer = await fs.open(dest, "w");
+  const response = await axios.get(url, { responseType: "stream" });
+
+  await new Promise((resolve, reject) => {
+    response.data.pipe(writer.createWriteStream());
+    response.data.on("end", resolve);
+    response.data.on("error", reject);
+  });
+
+  await writer.close();
+}
+
+// API Endpoint
+app.post("/highlight", express.json(), async (req, res) => {
+  const { imageUrl, searchTerms } = req.body;
+
+  if (!imageUrl || !Array.isArray(searchTerms) || searchTerms.length === 0) {
+    return res
+      .status(400)
+      .json({ error: "imageUrl and searchTerms are required" });
+  }
+
+  try {
+    // Download the image
+    const tempImagePath = path.join(__dirname, "temp_image.jpg");
+    await downloadImage(imageUrl, tempImagePath);
+
+    // Run OCR
+    const {
+      data: { text, words },
+    } = await Tesseract.recognize(tempImagePath, "eng", {
+      logger: (info) => console.log(info), // Optional: log OCR progress
+    });
+
+    const highlights = [];
+
+    // Search for each term
+    searchTerms.forEach((term) => {
+      const termWords = term.toLowerCase().split(" ");
+      const termLen = termWords.length;
+
+      let wordIndex = 0;
+
+      words.forEach((wordObj, i) => {
+        const word = wordObj.text?.toLowerCase();
+        if (!word) return;
+
+        if (word === termWords[wordIndex]) {
+          wordIndex++;
+
+          // If all words match
+          if (wordIndex === termLen) {
+            wordIndex = 0;
+
+            // Get bounding box
+            const xStart = words[i - termLen + 1].bbox.x0;
+            const yStart = words[i - termLen + 1].bbox.y0;
+            const xEnd = words[i].bbox.x1;
+            const yEnd = words[i].bbox.y1;
+
+            highlights.push({
+              text: term,
+              bbox: { x0: xStart, y0: yStart, x1: xEnd, y1: yEnd },
+            });
+          }
+        } else {
+          wordIndex = 0; // Reset if match breaks
+        }
+      });
+    });
+
+    // Clean up the temporary image
+    await fs.unlink(tempImagePath);
+
+    // Respond with highlights
+    return res.json({ searchTerms, highlights });
+  } catch (error) {
+    console.error(error);
+    return res
+      .status(500)
+      .json({ error: "An error occurred while processing the image." });
+  }
+});
+
+app.get("/process", async (req, res) => {
+  const kolors = new Kolors();
+  try {
+    const fileUrl =
+      "/tmp/gradio/a8afacda04e05001682bb475f128b24002ace7b7/e41b87fb-4cc3-43cd-a6e6-f3dbb08c2399.webp";
+    const prompt =
+      req.query.prompt ||
+      "Anna, 破旧衣服, 大声喊叫的愤怒脸, 嘴巴张大, 全身, 贫民窟背景, 仙女教母, 时尚TikTok风格衣服, 出现在闪亮和点赞的云中, 脸上带着炫酷的表情, 魔法棒, 变成华丽舞会礼服, 鱼网袜和蕾丝项圈, 震惊表情, 这幅艺术作品致敬了传奇的弗兰克·弗拉泽塔，展示了Loish van Baarle的独特风格和Boris Vallejo的动态笔触。这幅杰作向著名艺术家Ross Tran、Greg Tocchini、Tom Bagshaw和Steve Henderson的才华致敬，创造了一个引人入胜且迷人的场景。";
+    const sessionHash = req.query.session_hash || kolors.generateSessionHash();
+    // Step 1: Get JWT token
+    const jwtToken = await kolors.getJwtToken();
+    console.log("JWT Token:", jwtToken);
+
+    // Step 2: Join the queue
+    const queueResponse = await kolors.joinQueue(
+      sessionHash,
+      fileUrl,
+      jwtToken,
+      prompt
+    );
+    console.log("Queue Response:", queueResponse);
+
+    res.send({ sessionHash });
+  } catch (error) {
+    console.error("Error:", error);
+    res.status(500).send("An error occurred");
+  }
+});
+
+app.get("/poll", async (req, res) => {
+  const kolors = new Kolors();
+  try {
+    const sessionHash = req.query.session_hash;
+    if (!sessionHash) {
+      return res.status(400).send("session_hash is required");
+    }
+
+    const finalUrl = await kolors.getQueueData(sessionHash);
+    console.log("Final URL:", finalUrl);
+
+    res.send({ finalUrl });
+  } catch (error) {
+    console.error("Error:", error);
+    res.status(500).send("An error occurred");
+  }
+});
+
+app.post("/generateSVGPath", async (req, res) => {
+  // Set default values
+  const {
+    text,
+    size = 72, // Default font size
+    union = false,
+    filled = true,
+    kerning = true,
+    separate = false,
+    bezierAccuracy = 2,
+    units = "mm", // Default units
+    fill = "black", // Default fill color
+    stroke = "none", // Default stroke color
+    strokeWidth = "1", // Default stroke width
+    strokeNonScaling = false,
+    fillRule = "nonzero", // Default fill rule
+    fontUrl,
+    individualLetters = false,
+    font = "Roobert-Regular.ttf", // Default local font
+  } = req.body;
+
+  const config = [
+    text,
+    font,
+    size,
+    union,
+    filled,
+    kerning,
+    separate,
+    bezierAccuracy,
+    units,
+    fill,
+    stroke,
+    strokeWidth,
+    strokeNonScaling,
+    fillRule,
+    individualLetters,
+    res,
+  ];
+
+  const fontPath = fontUrl
+    ? await downloadAndSaveFont(fontUrl)
+    : path.join(__dirname, "public", "fonts", font);
+  console.log(fontPath);
+  try {
+    await fs.access(fontPath);
+    console.log("File exists:", fontPath);
+  } catch (error) {
+    console.log(fontPath);
+    res.status(500).json({ error: error.message });
+    // Handle the error or throw it
+  }
+  opentype.load(fontPath, (err, loadedFont) => {
+    handleRequest(err, loadedFont, config);
+  });
+});
+
+app.post("/generateSVGPathWithGoogleFont", async (req, res) => {
+  // Default values for parameters
+  const {
+    text,
+    fontName = "Open Sans", // Default Google Font
+    size = 72, // Default font size
+    union = false, // Default union
+    filled = true, // Default filled
+    kerning = true, // Default kerning
+    separate = false, // Default separate
+    bezierAccuracy = 2, // Default bezierAccuracy
+    units = "mm", // Default units
+    fill = "black", // Default fill color
+    stroke = "none", // Default stroke
+    strokeWidth = "1", // Default stroke width
+    strokeNonScaling = false, // Default strokeNonScaling
+    fillRule = "nonzero", // Default fillRule
+    individualLetters = false,
+  } = req.body;
+  const config = [
+    text,
+    fontName,
+    size,
+    union,
+    filled,
+    kerning,
+    separate,
+    bezierAccuracy,
+    units,
+    fill,
+    stroke,
+    strokeWidth,
+    strokeNonScaling,
+    fillRule,
+    individualLetters,
+    res,
+  ];
+  const apiKey = "AIzaSyAOES8EmKhuJEnsn9kS1XKBpxxp-TgN8Jc"; // Use environment variable for API key
+
+  try {
+    // Fetch the list of fonts from Google Fonts API
+    const response = await axios.get(
+      `https://www.googleapis.com/webfonts/v1/webfonts?key=${apiKey}`
+    );
+    const fonts = response.data.items;
+
+    // Find the font with the given name
+    const fontDetails = fonts.find((f) => f.family === fontName);
+    if (!fontDetails) {
+      return res.status(404).send("Font not found");
+    }
+
+    // Load the font using opentype.js
+    let fontUrl = fontDetails.files.regular; // Adjust based on font variants if needed
+    fontUrl = fontUrl.replace("http", "https");
+    const fontPath = await downloadAndSaveFont(fontUrl);
+
+    opentype.load(fontPath, (err, loadedFont) => {
+      handleRequest(err, loadedFont, config);
+    });
+  } catch (error) {
+    console.error("Error:", error);
+    res.status(500).json({ error: error.message });
+  }
+});
+
+app.post("/predictions", async (req, res) => {
+  const { input, path } = req.body;
+  const headers = {
+    "Content-Type": "application/json",
+    // Add any other headers here
+  };
+  const data = {
+    input: input,
+    is_training: false,
+    create_model: "0",
+    stream: false,
+  };
+  try {
+    const response = await axios.post(
+      `https://replicate.com/api/${path}/predictions`,
+      data,
+      { headers }
+    );
+    return res.json(response.data);
+  } catch (error) {
+    console.error("Error:", error);
+    return res.status(500).json({ error: error.message });
+  }
+});
+
+// Route handler for /vectorize
+app.post("/vectorize", (req, res) => {
+  const { imageUrl } = req.body;
+  // Extract imageUrl from request body
+
+  // Call getImageOutline to get the polygon data
+  getImageOutline(imageUrl, function (err, polygon) {
+    if (err) {
+      console.error("Error:", err);
+      return res.status(500).json({ error: "Error vectorizing image" });
+    }
+
+    // Convert polygon data to SVG path
+    const svgPath = polygonToSVGPath(polygon);
+
+    // Send the SVG path back to the client as JSON
+    res.json({ svgPath });
+  });
+});
+
+const PORT = process.env.PORT || 3000;
+app.listen(PORT, () => {
+  console.log(`Server running on port ${PORT}`);
+});

package-lock.json

@@ -0,0 +1,1566 @@
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+        "node": ">=4.0.0"
+      }
+    },
+    "node_modules/xmlbuilder": {
+      "version": "11.0.1",
+      "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-11.0.1.tgz",
+      "integrity": "sha512-fDlsI/kFEx7gLvbecc0/ohLG50fugQp8ryHzMTuW9vSa1GJ0XYWKnhsUx7oie3G98+r56aTQIUB4kht42R3JvA==",
+      "engines": {
+        "node": ">=4.0"
+      }
+    },
+    "node_modules/zlibjs": {
+      "version": "0.3.1",
+      "resolved": "https://registry.npmjs.org/zlibjs/-/zlibjs-0.3.1.tgz",
+      "integrity": "sha512-+J9RrgTKOmlxFSDHo0pI1xM6BLVUv+o0ZT9ANtCxGkjIVCCUdx9alUF8Gm+dGLKbkkkidWIHFDZHDMpfITt4+w==",
+      "license": "MIT",
+      "engines": {
+        "node": "*"
+      }
+    }
+  }
+}

package.json

@@ -0,0 +1,26 @@
+{
+  "name": "SVGMAKER",
+  "version": "1.0.0",
+  "description": "Description of your app",
+  "scripts": {
+    "start": "npm install && node app.js",
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "AWS",
+  "license": "MIT",
+  "dependencies": {
+    "axios": "^1.6.5",
+    "cors": "^2.8.5",
+    "express": "^4.18.2",
+    "image-outline": "^0.1.0",
+    "makerjs": "^0.9.71",
+    "nomnom": "^1.8.1",
+    "opentype.js": "1.3.4",
+    "tesseract.js": "^5.1.1",
+    "wawoff2": "^2.0.1",
+    "xml2js": "^0.6.2"
+  },
+  "devDependencies": {
+    "typescript": "2.5.2"
+  }
+}

vercel.json

@@ -0,0 +1,9 @@
+{
+    "version": 2,
+    "builds": [
+      { "src": "app.js", "use": "@vercel/node" }
+    ],
+    "routes": [
+      { "src": "/(.*)", "dest": "app.js" }
+    ]
+  }