cvpfus Codex commited on
Commit ·
79c2c78
1
Parent(s): 680e5da
Expose Tiny Titan model budget
Browse filesCo-authored-by: Codex <codex@openai.com>
- FIELD_NOTES.md +2 -0
- README.md +3 -1
- app.py +42 -1
- scripts/verify.py +17 -0
- static/app.css +55 -0
- static/app.js +41 -0
- static/index.html +5 -0
FIELD_NOTES.md
CHANGED
|
@@ -24,6 +24,8 @@ Tiny Narrator is a small-model accessibility article reader. It is not a generic
|
|
| 24 |
| Speech | `hexgrad/Kokoro-82M` | 82M | Fast screen-reader voice with a tiny footprint. |
|
| 25 |
| Image generation | `black-forest-labs/FLUX.2-klein-4B` | 4B | Generates the article illustrations while staying Tiny Titan-safe. |
|
| 26 |
|
|
|
|
|
|
|
| 27 |
## Reader Mode Behavior
|
| 28 |
|
| 29 |
The frontend creates a reading queue from semantic nodes: headings, paragraphs, quotes, figures, captions, and controls. It speaks one item at a time, keeps keyboard focus synchronized with the active node, and exposes the current narration through an `aria-live` region.
|
|
|
|
| 24 |
| Speech | `hexgrad/Kokoro-82M` | 82M | Fast screen-reader voice with a tiny footprint. |
|
| 25 |
| Image generation | `black-forest-labs/FLUX.2-klein-4B` | 4B | Generates the article illustrations while staying Tiny Titan-safe. |
|
| 26 |
|
| 27 |
+
The app exposes the same budget through `/api/model-budget`, including numeric `params_billion` values and a boolean `all_models_within_limit` check. The session panel renders that payload so the Tiny Titan claim is visible during the demo.
|
| 28 |
+
|
| 29 |
## Reader Mode Behavior
|
| 30 |
|
| 31 |
The frontend creates a reading queue from semantic nodes: headings, paragraphs, quotes, figures, captions, and controls. It speaks one item at a time, keeps keyboard focus synchronized with the active node, and exposes the current narration through an `aria-live` region.
|
README.md
CHANGED
|
@@ -69,6 +69,8 @@ python scripts/verify.py
|
|
| 69 |
|
| 70 |
The verifier checks syntax, static assets, deterministic fallback model paths, and generated speech file behavior.
|
| 71 |
|
|
|
|
|
|
|
| 72 |
## Screen Reader Mode
|
| 73 |
|
| 74 |
The frontend builds a reading queue from semantic article nodes. When screen-reader mode is on:
|
|
@@ -98,6 +100,6 @@ Navigation commands interrupt current speech before starting the next request, m
|
|
| 98 |
|
| 99 |
Reader-brain, image-description, speech, and image-generation responses include `elapsed_ms`. The session panel and transcript show recent latency so the Field Notes can discuss responsiveness with concrete numbers.
|
| 100 |
|
| 101 |
-
The session panel also renders a manifest-backed demo checklist for Tiny Titan, Llama Champion, Off-Brand, and Field Notes evidence.
|
| 102 |
|
| 103 |
`/api/runtime-status` performs a short readiness check for llama.cpp and local speech dependencies, then reports which fallback paths are ready for a live demo.
|
|
|
|
| 69 |
|
| 70 |
The verifier checks syntax, static assets, deterministic fallback model paths, and generated speech file behavior.
|
| 71 |
|
| 72 |
+
`/api/model-budget` exposes numeric parameter counts for every model role and reports whether the full stack stays within the 4B Tiny Titan limit.
|
| 73 |
+
|
| 74 |
## Screen Reader Mode
|
| 75 |
|
| 76 |
The frontend builds a reading queue from semantic article nodes. When screen-reader mode is on:
|
|
|
|
| 100 |
|
| 101 |
Reader-brain, image-description, speech, and image-generation responses include `elapsed_ms`. The session panel and transcript show recent latency so the Field Notes can discuss responsiveness with concrete numbers.
|
| 102 |
|
| 103 |
+
The session panel also renders a manifest-backed demo checklist for Tiny Titan, Llama Champion, Off-Brand, and Field Notes evidence. A model-budget panel reads `/api/model-budget` so judges can see each role's parameter count in the live app.
|
| 104 |
|
| 105 |
`/api/runtime-status` performs a short readiness check for llama.cpp and local speech dependencies, then reports which fallback paths are ready for a live demo.
|
app.py
CHANGED
|
@@ -27,29 +27,34 @@ LLAMA_CPP_BASE_URL = os.getenv("LLAMA_CPP_BASE_URL", "http://localhost:8080/v1")
|
|
| 27 |
LLAMA_CPP_MODEL = os.getenv("LLAMA_CPP_MODEL", "narrator-brain")
|
| 28 |
GRADIO_SERVER_NAME = os.getenv("GRADIO_SERVER_NAME", "0.0.0.0")
|
| 29 |
GRADIO_SERVER_PORT = int(os.getenv("PORT", os.getenv("GRADIO_SERVER_PORT", "7860")))
|
|
|
|
| 30 |
|
| 31 |
-
MODEL_MANIFEST: dict[str, dict[str,
|
| 32 |
"reader_brain": {
|
| 33 |
"id": "nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF",
|
| 34 |
"params": "3.97B",
|
|
|
|
| 35 |
"runtime": "llama.cpp",
|
| 36 |
"role": "Plans concise narration and reading-order phrasing.",
|
| 37 |
},
|
| 38 |
"vision": {
|
| 39 |
"id": "openbmb/MiniCPM-V-2",
|
| 40 |
"params": "3B",
|
|
|
|
| 41 |
"runtime": "Python integration planned",
|
| 42 |
"role": "Describes images and OCR-like visual details.",
|
| 43 |
},
|
| 44 |
"speech": {
|
| 45 |
"id": "hexgrad/Kokoro-82M",
|
| 46 |
"params": "82M",
|
|
|
|
| 47 |
"runtime": "Python",
|
| 48 |
"role": "Speaks the final narration.",
|
| 49 |
},
|
| 50 |
"image_generation": {
|
| 51 |
"id": "black-forest-labs/FLUX.2-klein-4B",
|
| 52 |
"params": "4B",
|
|
|
|
| 53 |
"runtime": "Python integration planned",
|
| 54 |
"role": "Creates article illustrations.",
|
| 55 |
},
|
|
@@ -116,6 +121,31 @@ AWARD_EVIDENCE: list[dict[str, str]] = [
|
|
| 116 |
},
|
| 117 |
]
|
| 118 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 119 |
ARTICLE_MANIFEST: dict[str, Any] = {
|
| 120 |
"title": "A tiny model reader that turns articles into guided narration",
|
| 121 |
"reader_controls": [
|
|
@@ -131,6 +161,7 @@ ARTICLE_MANIFEST: dict[str, Any] = {
|
|
| 131 |
"bonus_targets": ["Tiny Titan", "Llama Champion", "Off-Brand", "Field Notes"],
|
| 132 |
"images": ARTICLE_IMAGES,
|
| 133 |
"models": MODEL_MANIFEST,
|
|
|
|
| 134 |
"reader_settings": READER_SETTINGS,
|
| 135 |
"award_evidence": AWARD_EVIDENCE,
|
| 136 |
}
|
|
@@ -441,6 +472,11 @@ async def award_evidence() -> JSONResponse:
|
|
| 441 |
return _json({"ok": True, "items": AWARD_EVIDENCE})
|
| 442 |
|
| 443 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 444 |
@app.get("/api/runtime-status")
|
| 445 |
async def runtime_status() -> JSONResponse:
|
| 446 |
return _json(_runtime_status_core())
|
|
@@ -486,6 +522,11 @@ def describe_article_images_api() -> str:
|
|
| 486 |
return json.dumps(describe_article_images_core())
|
| 487 |
|
| 488 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 489 |
@app.api(name="speak")
|
| 490 |
def speak_api(text: str, voice: str = "af_heart", speed: float = 1.0) -> str:
|
| 491 |
return json.dumps(speak_core(text, voice, speed))
|
|
|
|
| 27 |
LLAMA_CPP_MODEL = os.getenv("LLAMA_CPP_MODEL", "narrator-brain")
|
| 28 |
GRADIO_SERVER_NAME = os.getenv("GRADIO_SERVER_NAME", "0.0.0.0")
|
| 29 |
GRADIO_SERVER_PORT = int(os.getenv("PORT", os.getenv("GRADIO_SERVER_PORT", "7860")))
|
| 30 |
+
TINY_TITAN_LIMIT_B = 4.0
|
| 31 |
|
| 32 |
+
MODEL_MANIFEST: dict[str, dict[str, Any]] = {
|
| 33 |
"reader_brain": {
|
| 34 |
"id": "nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF",
|
| 35 |
"params": "3.97B",
|
| 36 |
+
"params_billion": 3.97,
|
| 37 |
"runtime": "llama.cpp",
|
| 38 |
"role": "Plans concise narration and reading-order phrasing.",
|
| 39 |
},
|
| 40 |
"vision": {
|
| 41 |
"id": "openbmb/MiniCPM-V-2",
|
| 42 |
"params": "3B",
|
| 43 |
+
"params_billion": 3.0,
|
| 44 |
"runtime": "Python integration planned",
|
| 45 |
"role": "Describes images and OCR-like visual details.",
|
| 46 |
},
|
| 47 |
"speech": {
|
| 48 |
"id": "hexgrad/Kokoro-82M",
|
| 49 |
"params": "82M",
|
| 50 |
+
"params_billion": 0.082,
|
| 51 |
"runtime": "Python",
|
| 52 |
"role": "Speaks the final narration.",
|
| 53 |
},
|
| 54 |
"image_generation": {
|
| 55 |
"id": "black-forest-labs/FLUX.2-klein-4B",
|
| 56 |
"params": "4B",
|
| 57 |
+
"params_billion": 4.0,
|
| 58 |
"runtime": "Python integration planned",
|
| 59 |
"role": "Creates article illustrations.",
|
| 60 |
},
|
|
|
|
| 121 |
},
|
| 122 |
]
|
| 123 |
|
| 124 |
+
|
| 125 |
+
def model_budget_core() -> dict[str, Any]:
|
| 126 |
+
models = []
|
| 127 |
+
for role, model in MODEL_MANIFEST.items():
|
| 128 |
+
params_billion = float(model["params_billion"])
|
| 129 |
+
models.append(
|
| 130 |
+
{
|
| 131 |
+
"role": role,
|
| 132 |
+
"id": model["id"],
|
| 133 |
+
"runtime": model["runtime"],
|
| 134 |
+
"params": model["params"],
|
| 135 |
+
"params_billion": params_billion,
|
| 136 |
+
"limit_billion": TINY_TITAN_LIMIT_B,
|
| 137 |
+
"within_limit": params_billion <= TINY_TITAN_LIMIT_B,
|
| 138 |
+
}
|
| 139 |
+
)
|
| 140 |
+
return {
|
| 141 |
+
"ok": True,
|
| 142 |
+
"award": "Tiny Titan",
|
| 143 |
+
"limit_billion": TINY_TITAN_LIMIT_B,
|
| 144 |
+
"all_models_within_limit": all(model["within_limit"] for model in models),
|
| 145 |
+
"models": models,
|
| 146 |
+
}
|
| 147 |
+
|
| 148 |
+
|
| 149 |
ARTICLE_MANIFEST: dict[str, Any] = {
|
| 150 |
"title": "A tiny model reader that turns articles into guided narration",
|
| 151 |
"reader_controls": [
|
|
|
|
| 161 |
"bonus_targets": ["Tiny Titan", "Llama Champion", "Off-Brand", "Field Notes"],
|
| 162 |
"images": ARTICLE_IMAGES,
|
| 163 |
"models": MODEL_MANIFEST,
|
| 164 |
+
"model_budget": model_budget_core(),
|
| 165 |
"reader_settings": READER_SETTINGS,
|
| 166 |
"award_evidence": AWARD_EVIDENCE,
|
| 167 |
}
|
|
|
|
| 472 |
return _json({"ok": True, "items": AWARD_EVIDENCE})
|
| 473 |
|
| 474 |
|
| 475 |
+
@app.get("/api/model-budget")
|
| 476 |
+
async def model_budget() -> JSONResponse:
|
| 477 |
+
return _json(model_budget_core())
|
| 478 |
+
|
| 479 |
+
|
| 480 |
@app.get("/api/runtime-status")
|
| 481 |
async def runtime_status() -> JSONResponse:
|
| 482 |
return _json(_runtime_status_core())
|
|
|
|
| 522 |
return json.dumps(describe_article_images_core())
|
| 523 |
|
| 524 |
|
| 525 |
+
@app.api(name="model_budget")
|
| 526 |
+
def model_budget_api() -> str:
|
| 527 |
+
return json.dumps(model_budget_core())
|
| 528 |
+
|
| 529 |
+
|
| 530 |
@app.api(name="speak")
|
| 531 |
def speak_api(text: str, voice: str = "af_heart", speed: float = 1.0) -> str:
|
| 532 |
return json.dumps(speak_core(text, voice, speed))
|
scripts/verify.py
CHANGED
|
@@ -99,6 +99,8 @@ def verify_routes() -> None:
|
|
| 99 |
assert_true("autoAdvanceControl" in home.text, "Home route should include auto-advance control")
|
| 100 |
assert_true("transcriptLog" in home.text, "Home route should include transcript log")
|
| 101 |
assert_true("awardEvidenceList" in home.text, "Home route should include award evidence list")
|
|
|
|
|
|
|
| 102 |
|
| 103 |
health = client.get("/api/health")
|
| 104 |
assert_true(health.status_code == 200, "Health route should return 200")
|
|
@@ -137,6 +139,10 @@ def verify_routes() -> None:
|
|
| 137 |
len(manifest_payload["award_evidence"]) == 4,
|
| 138 |
"Manifest should expose four award evidence items",
|
| 139 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 140 |
|
| 141 |
awards = client.get("/api/award-evidence")
|
| 142 |
assert_true(awards.status_code == 200, "Award evidence route should return 200")
|
|
@@ -147,6 +153,17 @@ def verify_routes() -> None:
|
|
| 147 |
"Award evidence route should cover the targeted bonuses",
|
| 148 |
)
|
| 149 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 150 |
runtime = client.get("/api/runtime-status")
|
| 151 |
assert_true(runtime.status_code == 200, "Runtime status route should return 200")
|
| 152 |
runtime_payload = runtime.json()
|
|
|
|
| 99 |
assert_true("autoAdvanceControl" in home.text, "Home route should include auto-advance control")
|
| 100 |
assert_true("transcriptLog" in home.text, "Home route should include transcript log")
|
| 101 |
assert_true("awardEvidenceList" in home.text, "Home route should include award evidence list")
|
| 102 |
+
assert_true("budgetStatus" in home.text, "Home route should include model budget status")
|
| 103 |
+
assert_true("modelBudgetList" in home.text, "Home route should include model budget list")
|
| 104 |
|
| 105 |
health = client.get("/api/health")
|
| 106 |
assert_true(health.status_code == 200, "Health route should return 200")
|
|
|
|
| 139 |
len(manifest_payload["award_evidence"]) == 4,
|
| 140 |
"Manifest should expose four award evidence items",
|
| 141 |
)
|
| 142 |
+
assert_true(
|
| 143 |
+
manifest_payload["model_budget"]["all_models_within_limit"],
|
| 144 |
+
"Manifest should prove every model is within the Tiny Titan limit",
|
| 145 |
+
)
|
| 146 |
|
| 147 |
awards = client.get("/api/award-evidence")
|
| 148 |
assert_true(awards.status_code == 200, "Award evidence route should return 200")
|
|
|
|
| 153 |
"Award evidence route should cover the targeted bonuses",
|
| 154 |
)
|
| 155 |
|
| 156 |
+
budget = client.get("/api/model-budget")
|
| 157 |
+
assert_true(budget.status_code == 200, "Model budget route should return 200")
|
| 158 |
+
budget_payload = budget.json()
|
| 159 |
+
assert_true(budget_payload["ok"], "Model budget payload should be ok")
|
| 160 |
+
assert_true(budget_payload["limit_billion"] == 4.0, "Tiny Titan limit should be 4B")
|
| 161 |
+
assert_true(budget_payload["all_models_within_limit"], "All models should stay within the Tiny Titan limit")
|
| 162 |
+
assert_true(
|
| 163 |
+
all(item["params_billion"] <= budget_payload["limit_billion"] for item in budget_payload["models"]),
|
| 164 |
+
"Every model budget item should be at or below the limit",
|
| 165 |
+
)
|
| 166 |
+
|
| 167 |
runtime = client.get("/api/runtime-status")
|
| 168 |
assert_true(runtime.status_code == 200, "Runtime status route should return 200")
|
| 169 |
runtime_payload = runtime.json()
|
static/app.css
CHANGED
|
@@ -290,6 +290,21 @@ dd {
|
|
| 290 |
margin-top: 22px;
|
| 291 |
}
|
| 292 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 293 |
.history-header button {
|
| 294 |
min-height: 34px;
|
| 295 |
border-radius: 6px;
|
|
@@ -346,6 +361,46 @@ dd {
|
|
| 346 |
background: var(--surface);
|
| 347 |
}
|
| 348 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 349 |
.award-title {
|
| 350 |
display: flex;
|
| 351 |
align-items: center;
|
|
|
|
| 290 |
margin-top: 22px;
|
| 291 |
}
|
| 292 |
|
| 293 |
+
.budget-header {
|
| 294 |
+
display: flex;
|
| 295 |
+
align-items: center;
|
| 296 |
+
justify-content: space-between;
|
| 297 |
+
gap: 10px;
|
| 298 |
+
margin-top: 22px;
|
| 299 |
+
}
|
| 300 |
+
|
| 301 |
+
.budget-header span {
|
| 302 |
+
color: var(--accent-strong);
|
| 303 |
+
font-size: 0.76rem;
|
| 304 |
+
font-weight: 850;
|
| 305 |
+
text-transform: uppercase;
|
| 306 |
+
}
|
| 307 |
+
|
| 308 |
.history-header button {
|
| 309 |
min-height: 34px;
|
| 310 |
border-radius: 6px;
|
|
|
|
| 361 |
background: var(--surface);
|
| 362 |
}
|
| 363 |
|
| 364 |
+
.budget-list {
|
| 365 |
+
display: grid;
|
| 366 |
+
gap: 8px;
|
| 367 |
+
margin: 12px 0 0;
|
| 368 |
+
padding: 0;
|
| 369 |
+
list-style: none;
|
| 370 |
+
}
|
| 371 |
+
|
| 372 |
+
.budget-list li {
|
| 373 |
+
border: 1px solid var(--line);
|
| 374 |
+
border-radius: 8px;
|
| 375 |
+
padding: 10px 12px;
|
| 376 |
+
background: var(--surface);
|
| 377 |
+
}
|
| 378 |
+
|
| 379 |
+
.budget-row {
|
| 380 |
+
display: flex;
|
| 381 |
+
align-items: center;
|
| 382 |
+
justify-content: space-between;
|
| 383 |
+
gap: 8px;
|
| 384 |
+
font-size: 0.82rem;
|
| 385 |
+
font-weight: 850;
|
| 386 |
+
text-transform: uppercase;
|
| 387 |
+
}
|
| 388 |
+
|
| 389 |
+
.budget-pill {
|
| 390 |
+
border-radius: 999px;
|
| 391 |
+
background: rgba(197, 69, 44, 0.12);
|
| 392 |
+
color: var(--focus);
|
| 393 |
+
padding: 2px 8px;
|
| 394 |
+
font-size: 0.7rem;
|
| 395 |
+
}
|
| 396 |
+
|
| 397 |
+
.budget-list p {
|
| 398 |
+
margin: 6px 0 0;
|
| 399 |
+
color: var(--muted);
|
| 400 |
+
font-size: 0.78rem;
|
| 401 |
+
overflow-wrap: anywhere;
|
| 402 |
+
}
|
| 403 |
+
|
| 404 |
.award-title {
|
| 405 |
display: flex;
|
| 406 |
align-items: center;
|
static/app.js
CHANGED
|
@@ -18,6 +18,8 @@ const transcriptLog = document.querySelector("#transcriptLog");
|
|
| 18 |
const copyTranscriptButton = document.querySelector("#copyTranscriptButton");
|
| 19 |
const clearTranscriptButton = document.querySelector("#clearTranscriptButton");
|
| 20 |
const awardEvidenceList = document.querySelector("#awardEvidenceList");
|
|
|
|
|
|
|
| 21 |
|
| 22 |
const controls = {
|
| 23 |
prev: document.querySelector("#prevButton"),
|
|
@@ -156,6 +158,44 @@ async function loadAwardEvidence() {
|
|
| 156 |
}
|
| 157 |
}
|
| 158 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
async function loadRuntimeStatus() {
|
| 160 |
try {
|
| 161 |
const payload = await postJson("/api/runtime-status");
|
|
@@ -477,6 +517,7 @@ controls.play.addEventListener("click", () => {
|
|
| 477 |
|
| 478 |
loadManifest();
|
| 479 |
loadAwardEvidence();
|
|
|
|
| 480 |
loadRuntimeStatus();
|
| 481 |
loadImageDescriptions();
|
| 482 |
updateSpeedValue();
|
|
|
|
| 18 |
const copyTranscriptButton = document.querySelector("#copyTranscriptButton");
|
| 19 |
const clearTranscriptButton = document.querySelector("#clearTranscriptButton");
|
| 20 |
const awardEvidenceList = document.querySelector("#awardEvidenceList");
|
| 21 |
+
const budgetStatus = document.querySelector("#budgetStatus");
|
| 22 |
+
const modelBudgetList = document.querySelector("#modelBudgetList");
|
| 23 |
|
| 24 |
const controls = {
|
| 25 |
prev: document.querySelector("#prevButton"),
|
|
|
|
| 158 |
}
|
| 159 |
}
|
| 160 |
|
| 161 |
+
function roleLabel(role) {
|
| 162 |
+
return role
|
| 163 |
+
.split("_")
|
| 164 |
+
.map((part) => part.charAt(0).toUpperCase() + part.slice(1))
|
| 165 |
+
.join(" ");
|
| 166 |
+
}
|
| 167 |
+
|
| 168 |
+
async function loadModelBudget() {
|
| 169 |
+
try {
|
| 170 |
+
const payload = await postJson("/api/model-budget");
|
| 171 |
+
budgetStatus.textContent = payload.all_models_within_limit
|
| 172 |
+
? `All <= ${payload.limit_billion}B`
|
| 173 |
+
: "Review needed";
|
| 174 |
+
modelBudgetList.innerHTML = payload.models
|
| 175 |
+
.map((model) => `
|
| 176 |
+
<li>
|
| 177 |
+
<div class="budget-row">
|
| 178 |
+
<span>${escapeHtml(roleLabel(model.role))}</span>
|
| 179 |
+
<span class="budget-pill">${escapeHtml(model.params)}</span>
|
| 180 |
+
</div>
|
| 181 |
+
<p>${escapeHtml(model.id)}</p>
|
| 182 |
+
</li>
|
| 183 |
+
`)
|
| 184 |
+
.join("");
|
| 185 |
+
} catch {
|
| 186 |
+
budgetStatus.textContent = "Unavailable";
|
| 187 |
+
modelBudgetList.innerHTML = `
|
| 188 |
+
<li>
|
| 189 |
+
<div class="budget-row">
|
| 190 |
+
<span>Model budget</span>
|
| 191 |
+
<span class="budget-pill">offline</span>
|
| 192 |
+
</div>
|
| 193 |
+
<p>Tiny Titan evidence is unavailable.</p>
|
| 194 |
+
</li>
|
| 195 |
+
`;
|
| 196 |
+
}
|
| 197 |
+
}
|
| 198 |
+
|
| 199 |
async function loadRuntimeStatus() {
|
| 200 |
try {
|
| 201 |
const payload = await postJson("/api/runtime-status");
|
|
|
|
| 517 |
|
| 518 |
loadManifest();
|
| 519 |
loadAwardEvidence();
|
| 520 |
+
loadModelBudget();
|
| 521 |
loadRuntimeStatus();
|
| 522 |
loadImageDescriptions();
|
| 523 |
updateSpeedValue();
|
static/index.html
CHANGED
|
@@ -126,6 +126,11 @@
|
|
| 126 |
<h3>Demo Checklist</h3>
|
| 127 |
</div>
|
| 128 |
<ul id="awardEvidenceList" class="award-list" aria-label="Hackathon bonus evidence"></ul>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
</aside>
|
| 130 |
</main>
|
| 131 |
|
|
|
|
| 126 |
<h3>Demo Checklist</h3>
|
| 127 |
</div>
|
| 128 |
<ul id="awardEvidenceList" class="award-list" aria-label="Hackathon bonus evidence"></ul>
|
| 129 |
+
<div class="budget-header">
|
| 130 |
+
<h3>Model Budget</h3>
|
| 131 |
+
<span id="budgetStatus">Checking</span>
|
| 132 |
+
</div>
|
| 133 |
+
<ul id="modelBudgetList" class="budget-list" aria-label="Tiny Titan model budget"></ul>
|
| 134 |
</aside>
|
| 135 |
</main>
|
| 136 |
|