mihirmithani commited on
Commit ·
a320533
1
Parent(s): a371b77
Add HF Space configuration
Browse files- Add YAML frontmatter to README.md for Space config
- Add Dockerfile for container deployment
- Enable standalone output in next.config.ts
- Specify docker SDK in Space metadata
- Dockerfile +50 -0
- README.md +11 -0
- next.config.ts +6 -2
Dockerfile
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# Use Node.js 20 LTS as base image
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FROM node:20-alpine AS base
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# Install dependencies only when needed
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FROM base AS deps
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RUN apk add --no-cache libc6-compat
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WORKDIR /app
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COPY package.json package-lock.json* ./
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RUN npm ci
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# Rebuild the source code only when needed
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FROM base AS builder
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WORKDIR /app
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COPY --from=deps /app/node_modules ./node_modules
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COPY . .
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# Next.js collects completely anonymous telemetry data about general usage.
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# Learn more here: https://nextjs.org/telemetry
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ENV NEXT_TELEMETRY_DISABLED=1
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RUN npm run build
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# Production image, copy all the files and run next
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FROM base AS runner
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WORKDIR /app
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ENV NODE_ENV=production
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ENV NEXT_TELEMETRY_DISABLED=1
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RUN addgroup --system --gid 1001 nodejs
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RUN adduser --system --uid 1001 nextjs
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COPY --from=builder /app/public ./public
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# Set the correct permission for prerender cache
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mkdir .next
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chown nextjs:nodejs .next
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COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
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COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
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USER nextjs
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EXPOSE 7860
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ENV PORT=7860
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ENV HOSTNAME="0.0.0.0"
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CMD ["node", "server.js"]
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README.md
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| 1 |
# Interactive Kernel Convolution Visualizer
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An educational web application that demonstrates how image convolution works in real-time. Upload any image, choose from predefined kernels or create your own, and watch the convolution process step-by-step with detailed mathematical visualization.
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---
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title: Kernel Convolution Visualizer
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emoji: 🔍
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colorFrom: blue
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colorTo: purple
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sdk: docker
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sdk_version: "latest"
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app_file: Dockerfile
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pinned: false
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---
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# Interactive Kernel Convolution Visualizer
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An educational web application that demonstrates how image convolution works in real-time. Upload any image, choose from predefined kernels or create your own, and watch the convolution process step-by-step with detailed mathematical visualization.
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next.config.ts
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import type { NextConfig } from "next";
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const nextConfig: NextConfig = {
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-
//
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turbopack: {
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// Enable experimental features for better performance
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experimental: {
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optimizePackageImports: ['lucide-react'],
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},
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],
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},
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};
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export default nextConfig;
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import type { NextConfig } from "next";
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const nextConfig: NextConfig = {
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// Configure Turbopack root to avoid parent directory conflicts
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turbopack: {
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root: __dirname,
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},
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// Enable experimental features for better performance
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experimental: {
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optimizePackageImports: ['lucide-react'],
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},
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],
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},
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// Enable standalone output for Docker
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output: 'standalone',
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};
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export default nextConfig;
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