Embed browser WebGPU runtime

README.md

@@ -29,9 +29,8 @@ Live text-to-waveform inference for both Inflect v2 release models:
 Choose the runtime that fits your device:
 
 - **ZeroGPU:** server-side generation in this Space, with no local model download.
-- **[Browser WebGPU](https://huggingface.co/spaces/owensong/Inflect-Web):**
-  private, queue-free on-device inference with optional streaming and a WASM
-  compatibility fallback.
+- **Browser WebGPU:** private, queue-free on-device inference in the same
+  interface, with optional streaming and a WASM compatibility fallback.
 
 Every result is synthesized live from text. There is no reference audio,
 prerecorded fallback, or inference-time teacher model. Use the Compare tab to
@@ -40,4 +39,5 @@ run the same text, speed, variation, and seed through both checkpoints.
 Long input is split automatically at sentence and punctuation boundaries, then
 assembled into one downloadable WAV. ZeroGPU still applies a per-generation
 time limit, so submit book-length or document-length text in smaller sections,
-or use Browser WebGPU for inference without a server quota.
+or switch to the built-in Browser WebGPU tab for inference without a server
+quota.

app.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import logging
+import mimetypes
 import re
 import sys
 import threading
@@ -27,9 +28,15 @@ except ImportError:  # Local smoke tests do not require the ZeroGPU shim.
 
 ROOT = Path(__file__).resolve().parent
 RUNTIME = ROOT / "runtime"
+WEB_RUNTIME = ROOT / "web_runtime"
 sys.path.insert(0, str(RUNTIME))
 sys.path.insert(0, str(ROOT))
 
+# Windows does not register .mjs by default. Gradio's static-file response
+# would otherwise serve ONNX Runtime's module as text/plain.
+mimetypes.add_type("text/javascript", ".mjs")
+gr.set_static_paths(paths=[WEB_RUNTIME])
+
 import commons
 import utils
 from inflect_vits_frontend import run_vits_frontend
@@ -296,23 +303,23 @@ body,.gradio-container,.gradio-container button,.gradio-container input,.gradio-
 .links a{color:var(--muted)!important;text-decoration:none}.links a:hover{color:var(--ink)!important}
 .hero h1{max-width:1040px;margin:15px 0 8px;color:var(--ink);font:650 clamp(40px,4.5vw,56px)/.96 Inter,ui-sans-serif,sans-serif;letter-spacing:-.055em}
 .hero>p{max-width:1000px;margin:0;color:var(--muted)!important;font-size:13px;line-height:1.48}
-.runtime-picker{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:10px;margin:15px 0 2px;max-width:1080px}
-.runtime-card{position:relative;display:grid;grid-template-columns:auto minmax(0,1fr) auto;align-items:center;gap:12px;min-height:78px;padding:13px 15px;border:1px solid var(--line);border-radius:3px;background:var(--panel-2);color:var(--ink)!important;text-decoration:none!important;transition:border-color .16s ease,background .16s ease,transform .16s ease}
-.runtime-card:hover{border-color:#527aa6;background:#1b242d;transform:translateY(-1px)}
-.runtime-card.active{border-color:#356ea8;background:var(--signal-soft)}
-.runtime-icon{display:grid;place-items:center;width:38px;height:38px;border:1px solid #3a4540;border-radius:50%;color:var(--muted)!important;font-size:17px}
-.runtime-card.active .runtime-icon{border-color:#356ea8;background:#17385e;color:#fff!important}
-.runtime-copy{min-width:0}
-.runtime-kicker{display:block;margin-bottom:3px;color:var(--signal)!important;font:750 9px/1.1 ui-monospace,SFMono-Regular,Consolas,monospace;letter-spacing:.13em;text-transform:uppercase}
-.runtime-title{display:block;color:var(--ink)!important;font-size:15px;line-height:1.2;font-weight:800}
-.runtime-description{display:block;margin-top:3px;color:var(--muted)!important;font-size:11px;line-height:1.35}
-.runtime-state{align-self:center;padding:5px 7px;border:1px solid #3f4a44;border-radius:2px;color:var(--muted)!important;font:750 9px/1 ui-monospace,SFMono-Regular,Consolas,monospace;letter-spacing:.08em;text-transform:uppercase;white-space:nowrap}
-.runtime-card.active .runtime-state{border-color:#356ea8;color:#dceaff!important}
 .model-facts{display:flex;align-items:stretch;margin-top:13px;border-top:1px solid var(--line)}
 .model-fact{flex:1;padding:8px 24px 0 0;color:var(--muted)!important;font-size:11px;line-height:1.3}
 .model-fact+.model-fact{padding-left:20px;border-left:1px solid var(--line)}
 .model-fact strong{display:block;margin-bottom:2px;color:var(--ink);font-size:14px;line-height:1.2}
-.zerogpu-note{max-width:1080px;margin:10px 0 0!important;padding:7px 11px;border-left:2px solid var(--signal);background:#151b20;color:var(--muted)!important;font-size:11px!important;line-height:1.4!important}
+.runtime-tabs{margin-top:14px!important}
+.runtime-tabs>.tab-container,.runtime-tabs .tab-container{display:grid!important;grid-template-columns:repeat(2,minmax(0,1fr))!important;gap:10px!important;height:auto!important;overflow:visible!important;border:0!important;background:transparent!important}
+.runtime-tabs>.tab-container button,.runtime-tabs .tab-container button{min-height:62px!important;padding:12px 16px!important;border:1px solid var(--line)!important;border-radius:2px!important;background:var(--panel-2)!important;color:var(--muted)!important;font-size:13px!important;font-weight:800!important;letter-spacing:.01em!important;transition:border-color .16s ease,background .16s ease,color .16s ease!important}
+.runtime-tabs>.tab-container button:hover,.runtime-tabs .tab-container button:hover{border-color:#527aa6!important;background:#1b242d!important;color:var(--ink)!important}
+.runtime-tabs>.tab-container button.selected,.runtime-tabs .tab-container button.selected{border-color:#356ea8!important;background:var(--signal-soft)!important;color:#fff!important;box-shadow:inset 0 -2px 0 var(--signal)!important}
+.runtime-tabs>.tabitem,.runtime-tabs .tabitem{padding-top:0!important;border:0!important;background:transparent!important}
+.mode-banner{display:grid;grid-template-columns:minmax(0,1fr) auto;align-items:center;gap:16px;margin:12px 0 2px;padding:10px 12px;border-left:2px solid var(--signal);background:#151b20}
+.mode-banner strong{display:block;margin-bottom:2px;color:var(--ink)!important;font-size:12px}
+.mode-banner span{color:var(--muted)!important;font-size:11px;line-height:1.45}
+.mode-badge{padding:5px 7px;border:1px solid #356ea8;border-radius:2px;color:#dceaff!important;font:750 9px/1 ui-monospace,SFMono-Regular,Consolas,monospace!important;letter-spacing:.08em;text-transform:uppercase;white-space:nowrap}
+.browser-frame-shell{margin-top:12px;padding:8px;border:1px solid #2d3b4c;border-radius:3px;background:#f6f8fb;box-shadow:0 18px 50px rgba(0,0,0,.24)}
+.browser-frame{display:block;width:100%;height:1120px;border:0;border-radius:2px;background:#f6f8fb}
+.browser-help{margin:9px 2px 0!important;color:var(--muted)!important;font-size:11px!important;line-height:1.5!important}
 .workbench{padding:14px 0 4px!important;border:0!important;background:transparent!important}
 .workbench.block,.workbench>.wrap{border:0!important;box-shadow:none!important;background:transparent!important}
 .control-row{align-items:stretch!important;gap:20px!important;margin-top:6px!important;padding:13px 14px 12px!important;border:1px solid var(--line)!important;border-radius:3px!important;background:var(--panel-2)!important}
@@ -346,7 +353,7 @@ footer{display:none!important}
 html,body{overflow-x:hidden!important}.gradio-container{width:100%!important;min-width:0!important;padding:0 14px 38px!important}
 .hero{padding-top:22px}.hero-top{align-items:flex-start;flex-direction:column;gap:12px}.links{gap:14px;font-size:11px}
 .hero h1{margin-top:18px;font-size:42px}.model-facts{display:grid;grid-template-columns:1fr 1fr}.model-fact{padding:11px 10px 9px 0}.model-fact+.model-fact{padding-left:10px}.model-fact:nth-child(3){padding-left:0;border-left:0;border-top:1px solid var(--line)}.model-fact:nth-child(4){border-top:1px solid var(--line)}
-.runtime-picker{grid-template-columns:1fr}.runtime-card{grid-template-columns:auto minmax(0,1fr);padding:13px}.runtime-state{grid-column:2;justify-self:start;margin-top:-5px}
+.runtime-tabs>.tab-container,.runtime-tabs .tab-container{grid-template-columns:1fr!important}.runtime-tabs>.tab-container button,.runtime-tabs .tab-container button{min-height:54px!important}.mode-banner{grid-template-columns:1fr}.mode-badge{justify-self:start}.browser-frame-shell{margin-left:-4px;margin-right:-4px;padding:4px}.browser-frame{height:1520px}
 .workbench{min-width:0!important;padding-top:18px!important}.control-row,.action-row,.comparison .row{flex-direction:column!important;min-width:0!important}
 .control-row>*,.action-row>*,.comparison .row>*{width:100%!important;min-width:0!important}.gradio-container .wrap,.gradio-container .form,.gradio-container .block{min-width:0!important}
 }
@@ -366,124 +373,127 @@ with gr.Blocks(title="Inflect v2 · local speech playground") as demo:
       <div class="hero-top">
         <span class="eyebrow">Inflect v2 · choose where inference runs</span>
         <nav class="links">
-          <a href="https://huggingface.co/spaces/owensong/Inflect-Web" target="_blank" rel="noopener">Browser WebGPU ↗</a>
           <a href="https://huggingface.co/owensong/Inflect-Micro-v2">Micro model</a>
           <a href="https://huggingface.co/owensong/Inflect-Nano-v2">Nano model</a>
           <a href="https://github.com/owenawsong/Inflect">GitHub</a>
         </nav>
       </div>
       <h1>Small models.<br>Complete speech.</h1>
-      <p>Generate 24 kHz English speech with the published Inflect-Micro-v2 and Inflect-Nano-v2 checkpoints. The full text-to-waveform path runs here: no reference clip, external vocoder, hosted teacher, or prerecorded result.</p>
-      <div class="runtime-picker" role="navigation" aria-label="Inference runtime">
-        <div class="runtime-card active" aria-current="page">
-          <span class="runtime-icon" aria-hidden="true">◆</span>
-          <span class="runtime-copy">
-            <span class="runtime-kicker">Server inference</span>
-            <span class="runtime-title">ZeroGPU</span>
-            <span class="runtime-description">Runs here on Hugging Face. No model download or compatible GPU required.</span>
-          </span>
-          <span class="runtime-state">Current mode</span>
-        </div>
-        <a class="runtime-card" href="https://huggingface.co/spaces/owensong/Inflect-Web" target="_blank" rel="noopener">
-          <span class="runtime-icon" aria-hidden="true">◉</span>
-          <span class="runtime-copy">
-            <span class="runtime-kicker">On-device inference</span>
-            <span class="runtime-title">Browser WebGPU</span>
-            <span class="runtime-description">No queue or quota. Optional streaming, WebGPU acceleration, and WASM fallback.</span>
-          </span>
-          <span class="runtime-state">Open ↗</span>
-        </a>
-      </div>
+      <p>Generate 24 kHz English speech with the published Inflect-Micro-v2 and Inflect-Nano-v2 checkpoints. Choose hosted ZeroGPU inference or run the ONNX models privately in this browser.</p>
       <div class="model-facts">
         <div class="model-fact"><strong>9.36M · Micro</strong>quality-first model</div>
         <div class="model-fact"><strong>3.96M · Nano</strong>footprint-first model</div>
         <div class="model-fact"><strong>24 kHz WAV</strong>complete waveform output</div>
         <div class="model-fact"><strong>Local stack</strong>text normalization through audio</div>
       </div>
-      <p class="zerogpu-note"><strong>Using ZeroGPU:</strong> each generation has a time limit. For private, queue-free synthesis that runs on your own hardware, choose <a href="https://huggingface.co/spaces/owensong/Inflect-Web" target="_blank" rel="noopener">Browser WebGPU</a> above.</p>
     </header>
     """, elem_classes="hero-wrap")
-    with gr.Column(elem_classes="workbench"):
-        text = gr.Textbox(
-            value=PROMPTS[0],
-            lines=4,
-            max_lines=14,
-            label="Text",
-            placeholder="Write a sentence, paragraph, or script...",
-            elem_classes="prompt-input",
-        )
-        with gr.Row(equal_height=True, elem_classes="control-row"):
-            model = gr.Dropdown(
-                list(SPECS),
-                value="Inflect Micro v2",
-                label="Model",
-                info="Micro prioritizes quality; Nano prioritizes footprint.",
-                scale=4,
-            )
-            speed = gr.Slider(
-                0.7,
-                1.35,
-                value=1.0,
-                step=0.01,
-                label="Speaking speed",
-                info="1.00 is the trained default.",
-                scale=4,
-            )
-            variation = gr.Slider(
-                0.0,
-                1.0,
-                value=0.667,
-                step=0.001,
-                label="Delivery variation",
-                info="Lower is steadier. Higher gives each take more variation.",
-                scale=5,
-            )
-        with gr.Accordion(
-            "Advanced controls",
-            open=False,
-            elem_classes="advanced",
-        ):
-            with gr.Row():
-                pitch = gr.Slider(
-                    -2.0,
-                    2.0,
-                    value=0.0,
-                    step=0.25,
-                    label="Pitch shift (semitones)",
-                    info="Changes the finished voice pitch without changing speaking speed.",
+    with gr.Tabs(elem_classes="runtime-tabs"):
+        with gr.Tab("ZeroGPU · hosted server", id="zerogpu"):
+            gr.HTML("""
+            <div class="mode-banner">
+              <span><strong>ZeroGPU inference</strong>Nothing downloads to your device. Hugging Face runs each request; free-tier quota and queue limits apply.</span>
+              <span class="mode-badge">Server mode</span>
+            </div>
+            """)
+            with gr.Column(elem_classes="workbench"):
+                text = gr.Textbox(
+                    value=PROMPTS[0],
+                    lines=4,
+                    max_lines=14,
+                    label="Text",
+                    placeholder="Write a sentence, paragraph, or script...",
+                    elem_classes="prompt-input",
+                )
+                with gr.Row(equal_height=True, elem_classes="control-row"):
+                    model = gr.Dropdown(
+                        list(SPECS),
+                        value="Inflect Micro v2",
+                        label="Model",
+                        info="Micro prioritizes quality; Nano prioritizes footprint.",
+                        scale=4,
+                    )
+                    speed = gr.Slider(
+                        0.7,
+                        1.35,
+                        value=1.0,
+                        step=0.01,
+                        label="Speaking speed",
+                        info="1.00 is the trained default.",
+                        scale=4,
+                    )
+                    variation = gr.Slider(
+                        0.0,
+                        1.0,
+                        value=0.667,
+                        step=0.001,
+                        label="Delivery variation",
+                        info="Lower is steadier. Higher gives each take more variation.",
+                        scale=5,
+                    )
+                with gr.Accordion(
+                    "Advanced controls",
+                    open=False,
+                    elem_classes="advanced",
+                ):
+                    with gr.Row():
+                        pitch = gr.Slider(
+                            -2.0,
+                            2.0,
+                            value=0.0,
+                            step=0.25,
+                            label="Pitch shift (semitones)",
+                            info="Changes the finished voice pitch without changing speaking speed.",
+                        )
+                        seed = gr.Number(
+                            value=0,
+                            precision=0,
+                            label="Repeatable seed",
+                            info="Use the same seed and settings to reproduce a take.",
+                        )
+                with gr.Row(elem_classes="action-row"):
+                    generate = gr.Button("Generate selected model", variant="primary")
+                    compare = gr.Button("Compare Micro and Nano")
+                audio = gr.Audio(label="Generated 24 kHz WAV", elem_classes="output-audio")
+                status = gr.Markdown("Ready.", elem_classes="outputmeta")
+                gr.Markdown(
+                    "The first request can include ZeroGPU queue and model-transfer time. "
+                    "Use the audio player's menu to download the final WAV.",
+                    elem_classes="helper-copy",
+                )
+                gr.Examples(
+                    [[prompt] for prompt in PROMPTS],
+                    inputs=text,
+                    label="Try a prepared prompt",
                 )
-                seed = gr.Number(
-                    value=0,
-                    precision=0,
-                    label="Repeatable seed",
-                    info="Use the same seed and settings to reproduce a take.",
+            with gr.Column(elem_classes="comparison"):
+                gr.Markdown(
+                    "### Direct model comparison\n"
+                    "The same text, seed, speed, variation, and pitch are sent to both models.",
+                    elem_classes="comparison-title",
                 )
-        with gr.Row(elem_classes="action-row"):
-            generate = gr.Button("Generate selected model", variant="primary")
-            compare = gr.Button("Compare Micro and Nano")
-        audio = gr.Audio(label="Generated 24 kHz WAV", elem_classes="output-audio")
-        status = gr.Markdown("Ready.", elem_classes="outputmeta")
-        gr.Markdown(
-            "The first request can include ZeroGPU queue and model-transfer time. "
-            "Use the audio player's menu to download the final WAV.",
-            elem_classes="helper-copy",
-        )
-        gr.Examples(
-            [[prompt] for prompt in PROMPTS],
-            inputs=text,
-            label="Try a prepared prompt",
-        )
-    with gr.Column(elem_classes="comparison"):
-        gr.Markdown(
-            "### Direct model comparison\n"
-            "The same text, seed, speed, variation, and pitch are sent to both models.",
-            elem_classes="comparison-title",
-        )
-        with gr.Row():
-            micro_audio = gr.Audio(label="Micro v2 · 9.36M · quality first")
-            nano_audio = gr.Audio(label="Nano v2 · 3.96M · footprint first")
-        compare_status = gr.Markdown("", elem_classes="outputmeta")
-    gr.HTML("""<p class="fineprint">Fixed English voice · English-only frontend · no voice cloning · no reference audio upload. Uncommon names, abbreviations, and long passages can still fail. Generated audio is returned to your browser; this interface does not ask for an account or personal information.</p>""")
+                with gr.Row():
+                    micro_audio = gr.Audio(label="Micro v2 · 9.36M · quality first")
+                    nano_audio = gr.Audio(label="Nano v2 · 3.96M · footprint first")
+                compare_status = gr.Markdown("", elem_classes="outputmeta")
+            gr.HTML("""<p class="fineprint">Fixed English voice · English-only frontend · no voice cloning · no reference audio upload. Uncommon names, abbreviations, and long passages can still fail.</p>""")
+        with gr.Tab("Browser WebGPU · on-device", id="webgpu"):
+            gr.HTML("""
+            <div class="mode-banner">
+              <span><strong>Browser-local inference</strong>Your text and generated audio stay in this tab. WebGPU is preferred; compatible browsers fall back to WASM.</span>
+              <span class="mode-badge">No queue · no quota</span>
+            </div>
+            <div class="browser-frame-shell">
+              <iframe
+                class="browser-frame"
+                src="/gradio_api/file=web_runtime/index.html?embed=1"
+                title="Inflect browser-local WebGPU runtime"
+                allow="autoplay; webgpu"
+                loading="eager"
+              ></iframe>
+            </div>
+            <p class="browser-help">The first browser-local run downloads the selected ONNX model and compiles it on your device. Streaming and complete-audio modes are both available inside this panel.</p>
+            """)
     generate.click(synthesize_one, [text, model, speed, variation, pitch, seed], [audio, status], concurrency_limit=1, api_name="synthesize")
     text.submit(synthesize_one, [text, model, speed, variation, pitch, seed], [audio, status], concurrency_limit=1)
     compare.click(synthesize_both, [text, speed, variation, pitch, seed], [micro_audio, nano_audio, compare_status], concurrency_limit=1, api_name="compare")
@@ -493,4 +503,5 @@ if __name__ == "__main__":
     demo.queue(default_concurrency_limit=1).launch(
         theme=gr.themes.Base(),
         css=CSS,
+        allowed_paths=[str(WEB_RUNTIME)],
     )

web_runtime/assets/index-BuXMSyl3.css

@@ -0,0 +1,2 @@
+/*! tailwindcss v4.3.3 | MIT License | https://tailwindcss.com */
+@layer properties{@supports (((-webkit-hyphens:none)) and (not (margin-trim:inline))) or ((-moz-orient:inline) and (not (color:rgb(from red r g b)))){*,:before,:after,::backdrop{--tw-border-style:solid;--tw-leading:initial;--tw-font-weight:initial;--tw-tracking:initial;--tw-ordinal:initial;--tw-slashed-zero:initial;--tw-numeric-figure:initial;--tw-numeric-spacing:initial;--tw-numeric-fraction:initial;--tw-shadow:0 0 #0000;--tw-shadow-color:initial;--tw-shadow-alpha:100%;--tw-inset-shadow:0 0 #0000;--tw-inset-shadow-color:initial;--tw-inset-shadow-alpha:100%;--tw-ring-color:initial;--tw-ring-shadow:0 0 #0000;--tw-inset-ring-color:initial;--tw-inset-ring-shadow:0 0 #0000;--tw-ring-inset:initial;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-offset-shadow:0 0 #0000;--tw-duration:initial;--tw-ease:initial}}}@font-face{font-family:Manrope Variable;font-style:normal;font-display:swap;font-weight:200 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+oid sha256:7e83cd6cee77e478bc96a7e91b198144fb5e4126287daf1f9b54bb195ebcd55a
+size 24254953

web_runtime/coi-serviceworker.js

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+/*! coi-serviceworker v0.1.7 - Guido Zuidhof and contributors, licensed under MIT */
+let coepCredentialless = false;
+if (typeof window === 'undefined') {
+    self.addEventListener("install", () => self.skipWaiting());
+    self.addEventListener("activate", (event) => event.waitUntil(self.clients.claim()));
+
+    self.addEventListener("message", (ev) => {
+        if (!ev.data) {
+            return;
+        } else if (ev.data.type === "deregister") {
+            self.registration
+                .unregister()
+                .then(() => {
+                    return self.clients.matchAll();
+                })
+                .then(clients => {
+                    clients.forEach((client) => client.navigate(client.url));
+                });
+        } else if (ev.data.type === "coepCredentialless") {
+            coepCredentialless = ev.data.value;
+        }
+    });
+
+    self.addEventListener("fetch", function (event) {
+        const r = event.request;
+        if (r.cache === "only-if-cached" && r.mode !== "same-origin") {
+            return;
+        }
+
+        const request = (coepCredentialless && r.mode === "no-cors")
+            ? new Request(r, {
+                credentials: "omit",
+            })
+            : r;
+        event.respondWith(
+            fetch(request)
+                .then((response) => {
+                    if (response.status === 0) {
+                        return response;
+                    }
+
+                    const newHeaders = new Headers(response.headers);
+                    newHeaders.set("Cross-Origin-Embedder-Policy",
+                        coepCredentialless ? "credentialless" : "require-corp"
+                    );
+                    if (!coepCredentialless) {
+                        newHeaders.set("Cross-Origin-Resource-Policy", "cross-origin");
+                    }
+                    newHeaders.set("Cross-Origin-Opener-Policy", "same-origin");
+
+                    return new Response(response.body, {
+                        status: response.status,
+                        statusText: response.statusText,
+                        headers: newHeaders,
+                    });
+                })
+                .catch((e) => console.error(e))
+        );
+    });
+
+} else {
+    (() => {
+        const reloadedBySelf = window.sessionStorage.getItem("coiReloadedBySelf");
+        window.sessionStorage.removeItem("coiReloadedBySelf");
+        const coepDegrading = (reloadedBySelf == "coepdegrade");
+
+        // You can customize the behavior of this script through a global `coi` variable.
+        const coi = {
+            shouldRegister: () => !reloadedBySelf,
+            shouldDeregister: () => false,
+            coepCredentialless: () => true,
+            coepDegrade: () => true,
+            doReload: () => window.location.reload(),
+            quiet: false,
+            ...window.coi
+        };
+
+        const n = navigator;
+        const controlling = n.serviceWorker && n.serviceWorker.controller;
+
+        // Record the failure if the page is served by serviceWorker.
+        if (controlling && !window.crossOriginIsolated) {
+            window.sessionStorage.setItem("coiCoepHasFailed", "true");
+        }
+        const coepHasFailed = window.sessionStorage.getItem("coiCoepHasFailed");
+
+        if (controlling) {
+            // Reload only on the first failure.
+            const reloadToDegrade = coi.coepDegrade() && !(
+                coepDegrading || window.crossOriginIsolated
+            );
+            n.serviceWorker.controller.postMessage({
+                type: "coepCredentialless",
+                value: (reloadToDegrade || coepHasFailed && coi.coepDegrade())
+                    ? false
+                    : coi.coepCredentialless(),
+            });
+            if (reloadToDegrade) {
+                !coi.quiet && console.log("Reloading page to degrade COEP.");
+                window.sessionStorage.setItem("coiReloadedBySelf", "coepdegrade");
+                coi.doReload("coepdegrade");
+            }
+
+            if (coi.shouldDeregister()) {
+                n.serviceWorker.controller.postMessage({ type: "deregister" });
+            }
+        }
+
+        // If we're already coi: do nothing. Perhaps it's due to this script doing its job, or COOP/COEP are
+        // already set from the origin server. Also if the browser has no notion of crossOriginIsolated, just give up here.
+        if (window.crossOriginIsolated !== false || !coi.shouldRegister()) return;
+
+        if (!window.isSecureContext) {
+            !coi.quiet && console.log("COOP/COEP Service Worker not registered, a secure context is required.");
+            return;
+        }
+
+        // In some environments (e.g. Firefox private mode) this won't be available
+        if (!n.serviceWorker) {
+            !coi.quiet && console.error("COOP/COEP Service Worker not registered, perhaps due to private mode.");
+            return;
+        }
+
+        n.serviceWorker.register(window.document.currentScript.src).then(
+            (registration) => {
+                !coi.quiet && console.log("COOP/COEP Service Worker registered", registration.scope);
+
+                registration.addEventListener("updatefound", () => {
+                    !coi.quiet && console.log("Reloading page to make use of updated COOP/COEP Service Worker.");
+                    window.sessionStorage.setItem("coiReloadedBySelf", "updatefound");
+                    coi.doReload();
+                });
+
+                // If the registration is active, but it's not controlling the page
+                if (registration.active && !n.serviceWorker.controller) {
+                    !coi.quiet && console.log("Reloading page to make use of COOP/COEP Service Worker.");
+                    window.sessionStorage.setItem("coiReloadedBySelf", "notcontrolling");
+                    coi.doReload();
+                }
+            },
+            (err) => {
+                !coi.quiet && console.error("COOP/COEP Service Worker failed to register:", err);
+            }
+        );
+    })();
+}

web_runtime/index.html

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+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta
+      name="description"
+      content="Run Inflect Nano and Micro entirely in your browser with WebGPU or WebAssembly."
+    />
+    <meta name="theme-color" content="#f6f8fb" />
+    <link rel="icon" href="./favicon.svg" type="image/svg+xml" />
+    <title>Inflect Web — local browser TTS</title>
+    <script type="module" crossorigin src="./assets/index-DzE3jf0v.js"></script>
+    <link rel="stylesheet" crossorigin href="./assets/index-BuXMSyl3.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
+</html>

web_runtime/micro/decode.onnx

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+size 30427290

web_runtime/micro/duration.onnx

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web_runtime/nano/duration.onnx

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+size 3636043

web_runtime/ort/ort-wasm-simd-threaded.asyncify.mjs

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+g.unmountExternalData=()=>{delete g.Vc};var SharedArrayBuffer=globalThis.SharedArrayBuffer??(new WebAssembly.Memory({initial:0,maximum:0,shared:!0})).buffer.constructor;
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+n||(I=await (wa()),xa());h.PTR_SIZE=4;Ha?moduleRtn=h:moduleRtn=new Promise((a,b)=>{ra=a;sa=b});
+;return moduleRtn}export default ortWasmThreaded;var isPthread=globalThis.self?.name?.startsWith("em-pthread");var isNode=globalThis.process?.versions?.node&&globalThis.process?.type!="renderer";if(isNode)isPthread=(await import("worker_threads")).workerData==="em-pthread";isPthread&&ortWasmThreaded();

web_runtime/ort/ort-wasm-simd-threaded.wasm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1ab1b94b16a65b29d710d0b587b29e7bed336827577623913479b8afe8113e6
+size 13479978