File size: 10,155 Bytes
5baf5ae bc75691 5baf5ae bc75691 5baf5ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 | """Gradio entry point for the public Trace task explorer."""
from __future__ import annotations
import os
os.environ.setdefault("GRADIO_ANALYTICS_ENABLED", "False")
import gradio as gr
from trace_demo import (
DEFAULT_DOMAIN,
DEFAULT_SCENE_ID,
DEFAULT_SEED,
DEFAULT_TASK_ID,
MAX_SEED,
build_catalog,
generate_demo,
load_presets,
sample_random_selection,
)
CATALOG = build_catalog()
PRESETS = load_presets()
_CSS = """
.trace-shell {max-width: 1440px; margin: 0 auto;}
.trace-kicker {letter-spacing: .12em; text-transform: uppercase; font-size: .78rem;
color: var(--body-text-color-subdued);}
.trace-title h1 {margin-bottom: .25rem;}
.trace-title p {max-width: 900px; font-size: 1.02rem;}
.trace-stat {border: 1px solid var(--border-color-primary); border-radius: 12px;
padding: .8rem 1rem; background: var(--background-fill-secondary);}
.trace-stat strong {font-size: 1.35rem; display: block;}
.trace-run {min-height: 48px;}
.trace-note {font-size: .9rem; color: var(--body-text-color-subdued);}
"""
def _scene_update(domain: str):
scenes = CATALOG.scenes(domain)
scene_id = scenes[0]
return (
gr.Dropdown(choices=list(scenes), value=scene_id),
gr.Dropdown(
choices=list(CATALOG.tasks(domain, scene_id)),
value=CATALOG.tasks(domain, scene_id)[0],
),
)
def _task_update(domain: str, scene_id: str):
tasks = CATALOG.tasks(domain, scene_id)
return gr.Dropdown(choices=list(tasks), value=tasks[0])
def _preset_update(preset_index: str):
try:
preset = PRESETS[int(preset_index)]
except (IndexError, TypeError, ValueError) as exc:
raise gr.Error("Choose one of the curated Trace presets.") from exc
return (
gr.Dropdown(choices=list(CATALOG.domains), value=preset.domain),
gr.Dropdown(
choices=list(CATALOG.scenes(preset.domain)),
value=preset.scene_id,
),
gr.Dropdown(
choices=list(CATALOG.tasks(preset.domain, preset.scene_id)),
value=preset.task_id,
),
preset.seed,
)
def _run_generation(task_id: str, seed: int):
try:
result = generate_demo(task_id, seed, catalog=CATALOG)
except (KeyError, TypeError, ValueError, RuntimeError) as exc:
raise gr.Error(f"Trace could not generate that selection: {str(exc)[:300]}") from exc
return (
result.original_image,
result.annotation_overlay,
result.prompt,
result.ground_truth,
result.reward_contract,
result.trace_summary,
result.public_trace,
result.reproduction,
result.links_markdown,
)
def _random_question():
selection = sample_random_selection(CATALOG)
return (
gr.Dropdown(
choices=list(CATALOG.domains),
value=selection.domain,
),
gr.Dropdown(
choices=list(CATALOG.scenes(selection.domain)),
value=selection.scene_id,
),
gr.Dropdown(
choices=list(CATALOG.tasks(selection.domain, selection.scene_id)),
value=selection.task_id,
),
selection.seed,
*_run_generation(selection.task_id, selection.seed),
)
with gr.Blocks(
title="Trace 路 Grounded visual reasoning",
analytics_enabled=False,
fill_width=True,
) as demo:
with gr.Column(elem_classes="trace-shell"):
gr.HTML('<div class="trace-kicker">Grounded visual reasoning 路 deterministic by design</div>')
gr.Markdown(
"""
# Explore Trace
Generate any of Trace's **1,000 tasks** across **277 scenes** and **11 visual
domains**. Every image, prompt, typed answer, annotation, reward contract, and
public execution trace comes from the same deterministic state.
""",
elem_classes="trace-title",
)
with gr.Row(equal_height=True):
gr.HTML("<div class='trace-stat'><strong>1,000</strong>tasks</div>")
gr.HTML("<div class='trace-stat'><strong>277</strong>scenes</div>")
gr.HTML("<div class='trace-stat'><strong>11</strong>domains</div>")
with gr.Row():
with gr.Column(scale=7):
with gr.Row():
domain = gr.Dropdown(
choices=list(CATALOG.domains),
value=DEFAULT_DOMAIN,
label="1 路 Domain",
interactive=True,
)
scene_id = gr.Dropdown(
choices=list(CATALOG.scenes(DEFAULT_DOMAIN)),
value=DEFAULT_SCENE_ID,
label="2 路 Scene",
interactive=True,
)
task_id = gr.Dropdown(
choices=list(CATALOG.tasks(DEFAULT_DOMAIN, DEFAULT_SCENE_ID)),
value=DEFAULT_TASK_ID,
label="3 路 Task (searchable)",
filterable=True,
interactive=True,
)
with gr.Column(scale=3):
seed = gr.Number(
value=DEFAULT_SEED,
minimum=0,
maximum=MAX_SEED,
precision=0,
label="Seed",
interactive=True,
)
with gr.Row():
randomize = gr.Button("Random question", variant="secondary")
generate = gr.Button(
"Generate task",
variant="primary",
elem_classes="trace-run",
)
gr.Markdown(
"Inputs are limited to a registered task and integer seed. "
"Generation uses `max_attempts=100`.",
elem_classes="trace-note",
)
preset = gr.Dropdown(
choices=[
(item.label, str(index))
for index, item in enumerate(PRESETS)
],
value=None,
label="Curated gallery 路 22 deterministic presets, two per domain",
filterable=True,
interactive=True,
)
with gr.Tabs():
with gr.Tab("Problem"):
with gr.Row():
original_image = gr.Image(
label="Generated image",
type="pil",
format="png",
interactive=False,
)
annotation_overlay = gr.Image(
label="Public annotation overlay",
type="pil",
format="png",
interactive=False,
)
prompt = gr.Textbox(
label="Answer prompt",
lines=4,
interactive=False,
buttons=["copy"],
)
with gr.Tab("Ground truth"):
with gr.Row():
ground_truth = gr.JSON(label="Typed answer and annotation")
reward_contract = gr.JSON(label="Reward contract")
with gr.Tab("Execution trace"):
with gr.Row():
trace_summary = gr.JSON(label="Trace summary")
public_trace = gr.JSON(
label="Full public trace",
open=False,
)
with gr.Tab("Reproduce"):
reproduction = gr.Code(
label="Exact-revision reproduction",
language="shell",
interactive=False,
lines=13,
)
links = gr.Markdown(
"Choose a task and seed, then select **Generate task**.",
)
gr.Markdown(
"""
Trace uses metadata contracts鈥攏ot pixels鈥攁s verifier ground truth. The overlay
is an inspection aid; the typed payload and reward contract are authoritative.
[GitHub](https://github.com/maveryn/trace) 路
[Documentation](https://maveryn.github.io/trace/) 路
[Dataset](https://huggingface.co/datasets/maveryn/trace) 路
[Paper](https://arxiv.org/abs/2607.19790)
""",
elem_classes="trace-note",
)
domain.input(
_scene_update,
inputs=domain,
outputs=[scene_id, task_id],
api_name=False,
concurrency_limit=1,
)
scene_id.input(
_task_update,
inputs=[domain, scene_id],
outputs=task_id,
api_name=False,
concurrency_limit=1,
)
randomize.click(
_random_question,
outputs=[
domain,
scene_id,
task_id,
seed,
original_image,
annotation_overlay,
prompt,
ground_truth,
reward_contract,
trace_summary,
public_trace,
reproduction,
links,
],
api_name=False,
concurrency_limit=1,
)
preset.change(
_preset_update,
inputs=preset,
outputs=[domain, scene_id, task_id, seed],
api_name=False,
concurrency_limit=1,
)
generate.click(
_run_generation,
inputs=[task_id, seed],
outputs=[
original_image,
annotation_overlay,
prompt,
ground_truth,
reward_contract,
trace_summary,
public_trace,
reproduction,
links,
],
api_name=False,
concurrency_limit=1,
)
demo.queue(default_concurrency_limit=1, max_size=32)
if __name__ == "__main__":
demo.launch(css=_CSS, footer_links=[])
|