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https://github.com/snapotter-hq/SnapOtter.git
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chore: deploy to Cloudflare Pages and update branding
- Add Cloudflare Pages deployment for landing page (snapotter.com) and docs (docs.snapotter.com) - Create deploy-landing.yml and update deploy-docs.yml workflows - Update CI to ignore apps/landing/** paths - Fix logo transparency (remove white background) across all apps - Recreate social-preview.png with SnapOtter branding - Update all docs URLs from GitHub Pages to docs.snapotter.com - Update VitePress config: light theme default, fix llms.txt paths - Add .vitepress/cache/ and .env.* to gitignore
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@@ -1,5 +1,5 @@
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/**
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* FULL TOOL AUDIT — Tests every tool in ashim on Windows/amd64.
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* FULL TOOL AUDIT — Tests every tool in SnapOtter on Windows/amd64.
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* Verifies: (1) tool works, (2) GPU tools use GPU not CPU fallback,
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* (3) no unexpected model/method downgrades.
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*/
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@@ -79,7 +79,7 @@ async function test(name, path, settings, checks = {}) {
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async function main() {
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console.log("=============================================================");
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console.log(" ASHIM FULL TOOL AUDIT — Windows amd64 + RTX 4070");
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console.log(" SNAPOTTER FULL TOOL AUDIT — Windows amd64 + RTX 4070");
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console.log("=============================================================\n");
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// Login
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@@ -278,7 +278,7 @@ async function main() {
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// ════════════════════════════════════════════════════════════════
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console.log("\n--- SPECIAL TOOLS (may need specific inputs) ---\n");
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await test("QR Generate", "qr-generate", { text: "https://ashim.app", size: 512, format: "png" });
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await test("QR Generate", "qr-generate", { text: "https://snapotter.app", size: 512, format: "png" });
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await test("Text Overlay", "text-overlay", {
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text: "TEST",
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fontSize: 48,
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@@ -314,7 +314,7 @@ async function main() {
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// Check GPU usage in docker logs
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console.log("\n--- GPU USAGE CHECK ---\n");
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const { execSync } = await import("child_process");
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const logs = execSync("docker logs ashim 2>&1", { encoding: "utf-8", maxBuffer: 1024 * 1024 });
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const logs = execSync("docker logs SnapOtter 2>&1", { encoding: "utf-8", maxBuffer: 1024 * 1024 });
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const gpuLines = logs
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.split("\n")
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.filter(
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