Change to API default directory

Dockerfile

@@ -24,4 +24,4 @@ RUN uv sync --no-dev
 
 ENV PATH="$HOME/app/.venv/bin:$PATH"
 
-CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
+CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]

Makefile

@@ -1,18 +1,28 @@
-.PHONY: help docker-build docker-run local-install local-run local-test local-test-integration eval-photo eval-dance eval-photo-matrix eval-dance-matrix data-photos data-dance
+.PHONY: help docker-build docker-run local-install local-run local-test local-test-integration eval-photo eval-dance eval-photo-matrix eval-dance-matrix eval-photo-hf eval-dance-hf eval-photo-matrix-hf eval-dance-matrix-hf data-photos data-dance
 
 help:
 	@echo "---------------------------------------------------"
 	@echo "Targets:"
+	@echo " "
 	@echo "  docker-build            Build Docker image"
 	@echo "  docker-run              Run Docker image on :7860"
+	@echo "  docker-stop             Stop Docker image"
+	@echo " "
 	@echo "  local-install           Sync deps with uv"
 	@echo "  local-run               Run API locally on :7860"
 	@echo "  local-test              Run unit tests"
 	@echo "  local-test-integration  Run integration tests"
+	@echo " "
 	@echo "  eval-photo              Run eval on personal-photos-lite-v1"
 	@echo "  eval-dance              Run eval on scene-dance-formation-group-v1"
 	@echo "  eval-photo-matrix       Run eval for all personal-photos label sets"
 	@echo "  eval-dance-matrix       Run eval for all dance label sets"
+	@echo " "
+	@echo "  eval-photo-hf           Run eval on HF Space (photo)"
+	@echo "  eval-dance-hf           Run eval on HF Space (dance)"
+	@echo "  eval-photo-matrix-hf    Run matrix eval on HF Space (photo)"
+	@echo "  eval-dance-matrix-hf    Run matrix eval on HF Space (dance)"
+	@echo " "
 	@echo "  data-photos             Download + normalize photo eval dataset"
 	@echo "  data-dance              Download + normalize dance eval dataset"
 
@@ -22,11 +32,14 @@ docker-build:
 docker-run:
 	docker run --rm -p 7860:7860 photo-classification
 
+docker-stop:
+	docker stop photo-classification
+
 local-install:
 	uv sync --extra dev --python 3.12
 
 local-run:
-	uv run uvicorn app.main:app --host 0.0.0.0 --port 7860
+	uv run uvicorn api.main:app --host 0.0.0.0 --port 7860 --reload
 
 local-test:
 	uv run pytest -q
@@ -38,28 +51,52 @@ eval-photo:
 	uv run photo-eval single \
 		--label-set label-dataset/personal-photos-lite-v1.json \
 		--images data_eval/photos/normalized \
-		--out-dir data_results \
 		--summary
 
 eval-dance:
 	uv run photo-eval single \
 		--label-set label-dataset/scene-dance-formation-group-v1.json \
 		--images data_eval/dance/normalized \
-		--out-dir data_results \
 		--summary
 
 eval-photo-matrix:
 	uv run photo-eval matrix \
 		--label-sets "label-dataset/personal-photos-*.json" \
 		--images data_eval/photos/normalized \
-		--out-dir data_results \
 		--summary
 
 eval-dance-matrix:
 	uv run photo-eval matrix \
 		--label-sets "label-dataset/scene-dance-*.json" \
 		--images data_eval/dance/normalized \
-		--out-dir data_results \
+		--summary
+
+eval-hf-photo:
+	uv run photo-eval single \
+		--api https://esandorfi-photo-classification.hf.space \
+		--label-set label-dataset/personal-photos-lite-v1.json \
+		--images data_eval/photos/normalized \
+		--summary
+
+eval-hf-dance:
+	uv run photo-eval single \
+		--api https://esandorfi-photo-classification.hf.space \
+		--label-set label-dataset/scene-dance-formation-group-v1.json \
+		--images data_eval/dance/normalized \
+		--summary
+
+eval-hf-photo-matrix:
+	uv run photo-eval matrix \
+		--api https://esandorfi-photo-classification.hf.space \
+		--label-sets "label-dataset/personal-photos-*.json" \
+		--images data_eval/photos/normalized \
+		--summary
+
+eval-hf-dance-matrix:
+	uv run photo-eval matrix \
+		--api https://esandorfi-photo-classification.hf.space \
+		--label-sets "label-dataset/scene-dance-*.json" \
+		--images data_eval/dance/normalized \
 		--summary
 
 data-photos:

README.md

@@ -9,13 +9,6 @@ app_port: 7860
 
 # Photo Classification API
 
-```
- ____  _           _           ____ _               
-|  _ \| |__   ___ | |_ ___    / ___| | __ _ ___ ___ 
-| |_) | '_ \ / _ \| __/ _ \  | |   | |/ _` / __/ __|
-|  __/| | | | (_) | || (_) | | |___| | (_| \__ \__ \
-|_|   |_| |_|\___/ \__\___/   \____|_|\__,_|___/___/
-```
 
 A small, prompt-driven photo classification API built on CLIP. You upload a label set
 (domains + labels with prompts), then classify images against that taxonomy without
@@ -51,7 +44,7 @@ Use these as starting points or create your own taxonomy.
 
 ## API quickstart
 
-1) Start the service (Docker or `uvicorn app.main:app`).
+1) Start the service (Docker or `uvicorn app:app`).
 2) Upload a label set.
 3) Optionally activate a label set.
 4) Classify images.
@@ -94,11 +87,11 @@ Guard policy example:
 
 ## Architecture
 
-- API layer: FastAPI endpoints and request/response schemas (`src/app/main.py`, `src/app/schemas.py`).
-- Use-case layer: two-stage classification (domain -> labels) (`src/app/clip_service.py`).
-- Model layer: CLIP model + processor + embedding banks (`src/app/clip_store.py`, `src/app/banks.py`).
-- Runtime support: registry, settings, logging, middleware (`src/app/registry.py`, `src/app/settings.py`,
-  `src/app/logging_utils.py`, `src/app/middleware.py`).
+- API layer: FastAPI endpoints and request/response schemas (`src/api/main.py`, `src/api/schemas.py`).
+- Use-case layer: two-stage classification (domain -> labels) (`src/api/clip_service.py`).
+- Model layer: CLIP model + processor + embedding banks (`src/api/clip_store.py`, `src/api/banks.py`).
+- Runtime support: registry, settings, logging, middleware (`src/api/registry.py`, `src/api/settings.py`,
+  `src/api/logging_utils.py`, `src/api/middleware.py`).
 
 ## Coding rules (deeper)
 
@@ -167,6 +160,16 @@ uv run photo-eval single \
 
 Output CSV files are timestamped (UTC) in `data_results/`.
 
+Run evals against a remote Space by setting `--api`:
+
+```bash
+uv run photo-eval single \
+  --api https://esandorfi-photoclassification.hf.space \
+  --label-set label-dataset/personal-photos-lite-v1.json \
+  --images /path/to/images \
+  --summary
+```
+
 Makefile shortcuts:
 
 - `make eval-photo`
@@ -226,18 +229,25 @@ uv run photo-eval prep --normalize-only --in-dir /path/to/images --out data_eval
 ├── Dockerfile
 ├── requirements.txt
 └── src
-    └── app
-        ├── banks.py
-        ├── clip_service.py
-        ├── clip_store.py
-        ├── deps.py
-        ├── image_io.py
-        ├── label_hash.py
-        ├── logging_utils.py
-        ├── main.py
-        ├── middleware.py
-        ├── registry.py
-        ├── results.py
-        ├── schemas.py
-        └── settings.py
+    ├── api
+    │   ├── banks.py
+    │   ├── clip_service.py
+    │   ├── clip_store.py
+    │   ├── deps.py
+    │   ├── image_io.py
+    │   ├── label_hash.py
+    │   ├── logging_utils.py
+    │   ├── main.py
+    │   ├── middleware.py
+    │   ├── registry.py
+    │   ├── results.py
+    │   ├── schemas.py
+    │   └── settings.py
+    └── eval
+        ├── README.md
+        ├── cli.py
+        ├── classify_dataset.py
+        ├── common.py
+        ├── dataset_prep.py
+        └── eval_matrix.py
 ```

app.py

@@ -1 +1,3 @@
-print('Fake app for HF Spaces')
+from api.main import app
+
+__all__ = ["app"]

pyproject.toml

@@ -10,6 +10,7 @@ readme = "README.md"
 requires-python = ">=3.12,<3.13"
 dependencies = [
   "fastapi==0.115.6",
+  "markdown==3.7",
   "pillow==10.4.0",
   "pydantic==2.8.2",
   "torch==2.3.1",

src/{app → api}/app_factory.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from fastapi import FastAPI
-from app.main import build_app  # we'll define build_app in main.py
+from api.main import build_app  # we'll define build_app in main.py
 
 def create_app() -> FastAPI:
     return build_app()

src/{app → api}/clip_service.py

@@ -5,9 +5,9 @@ from dataclasses import dataclass
 
 import torch
 
-from app.banks import EmbeddingBank, LabelSetBank
-from app.clip_store import ClipStore
-from app.results import ClassificationResult, StageTimings
+from api.banks import EmbeddingBank, LabelSetBank
+from api.clip_store import ClipStore
+from api.results import ClassificationResult, StageTimings
 
 
 @dataclass(slots=True)

src/{app → api}/clip_store.py

@@ -5,10 +5,10 @@ import warnings
 import torch
 from transformers import CLIPModel, CLIPProcessor
 
-from app.banks import EmbeddingBank, LabelSetBank
-from app.label_hash import stable_hash
-from app.schemas import LabelSet
-from app.settings import settings
+from api.banks import EmbeddingBank, LabelSetBank
+from api.label_hash import stable_hash
+from api.schemas import LabelSet
+from api.settings import settings
 
 
 class ClipStore:

src/{app → api}/deps.py

@@ -4,8 +4,8 @@ from typing import Optional
 
 from fastapi import Depends, HTTPException, Query, Request
 
-from app.banks import LabelSetBank
-from app.registry import LabelSetRegistry
+from api.banks import LabelSetBank
+from api.registry import LabelSetRegistry
 
 
 def get_request_id(request: Request) -> str:

src/{app → api}/main.py

@@ -5,16 +5,19 @@ from dataclasses import dataclass
 from typing import Optional
 
 from fastapi import Depends, FastAPI, HTTPException, Query, Request, Response
-from fastapi.responses import JSONResponse
-
-from app.clip_store import ClipStore
-from app.clip_service import TwoStageClassifier
-from app.deps import get_request_id, resolve_bank
-from app.image_io import load_image_from_base64
-from app.logging_utils import setup_logging, log_json
-from app.middleware import RequestIdMiddleware
-from app.registry import LabelSetRegistry
-from app.schemas import (
+from fastapi.responses import HTMLResponse, JSONResponse
+from pathlib import Path
+
+import markdown
+
+from api.clip_store import ClipStore
+from api.clip_service import TwoStageClassifier
+from api.deps import get_request_id, resolve_bank
+from api.image_io import load_image_from_base64
+from api.logging_utils import setup_logging, log_json
+from api.middleware import RequestIdMiddleware
+from api.registry import LabelSetRegistry
+from api.schemas import (
     ActivateResponse,
     ClassifyRequest,
     ClassifyResponse,
@@ -23,7 +26,7 @@ from app.schemas import (
     LabelSetCreateResponse,
     LabelSetInfo,
 )
-from app.settings import settings
+from api.settings import settings
 
 
 logger = setup_logging()
@@ -124,6 +127,93 @@ def create_app(*, resources: Resources | None = None) -> FastAPI:
         )
         return Response(content=svg, media_type="image/svg+xml")
 
+    @app.get("/", include_in_schema=False)
+    def home() -> HTMLResponse:
+        splash_path = Path(__file__).with_name("splash.html")
+        try:
+            html = splash_path.read_text(encoding="utf-8")
+        except Exception:
+            html = "<h1>Photo Class</h1><p>Missing splash.html</p>"
+        return HTMLResponse(content=html)
+
+    @app.get("/readme", include_in_schema=False)
+    def readme() -> HTMLResponse:
+        readme_path = Path(__file__).resolve().parents[2] / "README.md"
+        try:
+            md_text = readme_path.read_text(encoding="utf-8")
+        except Exception:
+            md_text = "# Photo Classification API\n\nREADME.md not found."
+
+        if md_text.lstrip().startswith("---"):
+            parts = md_text.split("---", 2)
+            if len(parts) == 3:
+                md_text = parts[2].lstrip()
+
+        content_html = markdown.markdown(
+            md_text,
+            extensions=["fenced_code", "tables"],
+            output_format="html5",
+        )
+
+        html = f"""<!doctype html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <title>README</title>
+    <style>
+      :root {{
+        --bg: #f8fafc;
+        --card: #ffffff;
+        --ink: #0f172a;
+        --muted: #475569;
+        --line: #e2e8f0;
+      }}
+      * {{ box-sizing: border-box; }}
+      body {{
+        margin: 0;
+        font-family: "IBM Plex Sans", "Segoe UI", sans-serif;
+        color: var(--ink);
+        background: var(--bg);
+      }}
+      header {{
+        padding: 16px 20px;
+        border-bottom: 1px solid var(--line);
+        background: #fff;
+      }}
+      main {{
+        max-width: 980px;
+        margin: 0 auto;
+        padding: 24px 20px 40px;
+      }}
+      pre {{
+        background: #f1f5f9;
+        color: #0f172a;
+        padding: 12px;
+        border-radius: 10px;
+        overflow-x: auto;
+      }}
+      code {{
+        background: #e2e8f0;
+        padding: 2px 6px;
+        border-radius: 6px;
+      }}
+      a {{
+        color: #2563eb;
+      }}
+    </style>
+  </head>
+  <body>
+    <header>
+      <a href="/">Back</a>
+    </header>
+    <main>
+      {content_html}
+    </main>
+  </body>
+</html>"""
+        return HTMLResponse(content=html)
+
     @app.exception_handler(Exception)
     async def unhandled_exception_handler(request: Request, exc: Exception):
         rid = getattr(request.state, "request_id", None)

src/{app → api}/registry.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 from typing import Optional
-from app.banks import LabelSetBank
+from api.banks import LabelSetBank
 
 
 @dataclass(slots=True)

src/api/splash.html

@@ -0,0 +1,77 @@
+<!doctype html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <title>Photo Class</title>
+    <style>
+      :root {
+        --bg: #f8fafc;
+        --card: #ffffff;
+        --ink: #0f172a;
+        --muted: #64748b;
+        --accent: #2563eb;
+        --line: #e2e8f0;
+      }
+      * { box-sizing: border-box; }
+      body {
+        margin: 0;
+        font-family: "IBM Plex Sans", "Segoe UI", sans-serif;
+        color: var(--ink);
+        background: radial-gradient(circle at 10% 0%, #dbeafe, transparent 35%),
+                    radial-gradient(circle at 90% 20%, #fee2e2, transparent 40%),
+                    var(--bg);
+        min-height: 100vh;
+        display: grid;
+        place-items: center;
+        padding: 24px;
+      }
+      .card {
+        width: min(820px, 100%);
+        background: var(--card);
+        border: 1px solid var(--line);
+        border-radius: 20px;
+        padding: 28px;
+        box-shadow: 0 20px 40px rgba(15, 23, 42, 0.08);
+      }
+      h1 {
+        margin: 0 0 8px;
+        font-size: clamp(24px, 3vw, 34px);
+        letter-spacing: 0.04em;
+        text-transform: uppercase;
+      }
+      p {
+        margin: 0 0 20px;
+        color: var(--muted);
+      }
+      .actions {
+        display: flex;
+        flex-wrap: wrap;
+        gap: 12px;
+      }
+      a.button {
+        text-decoration: none;
+        padding: 10px 16px;
+        border-radius: 999px;
+        border: 1px solid var(--line);
+        color: var(--ink);
+        font-weight: 600;
+        background: #fff;
+      }
+      a.button.primary {
+        border-color: var(--accent);
+        color: var(--accent);
+      }
+    </style>
+  </head>
+  <body>
+    <div class="card">
+      <h1>Photo Class</h1>
+      <p>Prompt-driven photo classification with CLIP. Upload a label set, classify images, and inspect timings.</p>
+      <div class="actions">
+        <a class="button primary" href="/docs">API Docs</a>
+        <a class="button" href="/readme">README</a>
+      </div>
+    </div>
+  </body>
+</html>

src/eval/classify_dataset.py

@@ -20,7 +20,7 @@ class Config:
     top_k: int
     activate: bool
     limit: int
-    out_dir: Path
+    out_dir: Path | None
     csv_path: Path | None
     summary: bool
     select_domain_n: int | None
@@ -109,15 +109,16 @@ def run(cfg: Config) -> int:
         "elapsed_labels_ms",
     ]
 
+    out_dir = common.resolve_out_dir(cfg.api, cfg.out_dir)
     if cfg.csv_path and rows:
         common.write_csv(cfg.csv_path, rows, fieldnames)
     elif rows:
-        out_path = cfg.out_dir / f"{cfg.label_set.stem}_{common.timestamp()}.csv"
+        out_path = out_dir / f"{cfg.label_set.stem}_{common.timestamp()}.csv"
         common.write_csv(out_path, rows, fieldnames)
 
     if cfg.summary:
         summary = common.summarize_latency(rows)
-        summary_path = cfg.out_dir / f"{cfg.label_set.stem}_summary_{common.timestamp()}.csv"
+        summary_path = out_dir / f"{cfg.label_set.stem}_summary_{common.timestamp()}.csv"
         common.write_csv(summary_path, [summary], list(summary.keys()))
 
     return 0
@@ -131,7 +132,7 @@ def run(cfg: Config) -> int:
 @click.option("--top-k", default=5, show_default=True, type=int)
 @click.option("--activate", is_flag=True, default=False)
 @click.option("--limit", default=0, show_default=True, type=int)
-@click.option("--out-dir", default="data_results", show_default=True, type=click.Path(path_type=Path))
+@click.option("--out-dir", type=click.Path(path_type=Path))
 @click.option("--csv", "csv_path", type=click.Path(path_type=Path))
 @click.option("--summary", is_flag=True, default=False)
 @click.option("--select-domain-n", type=int, default=None)
@@ -146,7 +147,7 @@ def cli(
     top_k: int,
     activate: bool,
     limit: int,
-    out_dir: Path,
+    out_dir: Path | None,
     csv_path: Path | None,
     summary: bool,
     select_domain_n: int | None,

src/eval/common.py

@@ -7,6 +7,7 @@ from dataclasses import dataclass
 from datetime import datetime, timezone
 from pathlib import Path
 from typing import Iterable
+from urllib.parse import urlparse
 
 import httpx
 
@@ -101,6 +102,22 @@ def timestamp() -> str:
     return datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
 
 
+def api_slug(api: str) -> str:
+    parsed = urlparse(api)
+    host = parsed.netloc or parsed.path
+    host = host.replace("http://", "").replace("https://", "")
+    host = host.strip("/")
+    if host in {"localhost:7860", "localhost", "127.0.0.1:7860", "127.0.0.1"}:
+        return "local"
+    return "".join(ch if ch.isalnum() or ch in {"-", "."} else "-" for ch in host)
+
+
+def resolve_out_dir(api: str, out_dir: Path | None) -> Path:
+    if out_dir is not None:
+        return out_dir
+    return Path("data_results") / api_slug(api)
+
+
 def write_csv(path: Path, rows: list[dict[str, str]], fieldnames: list[str]) -> None:
     path.parent.mkdir(parents=True, exist_ok=True)
     with path.open("w", newline="", encoding="utf-8") as f:

src/eval/eval_matrix.py

@@ -19,7 +19,7 @@ class Config:
     images: list[Path]
     domain_top_n: int
     top_k: int
-    out_dir: Path
+    out_dir: Path | None
     summary: bool
     select_domain_n: int | None
     select_label_n: int | None
@@ -140,12 +140,13 @@ def run(cfg: Config) -> None:
         "elapsed_labels_ms",
     ]
 
-    out_path = cfg.out_dir / f"eval_matrix_{common.timestamp()}.csv"
+    out_dir = common.resolve_out_dir(cfg.api, cfg.out_dir)
+    out_path = out_dir / f"eval_matrix_{common.timestamp()}.csv"
     common.write_csv(out_path, rows, fieldnames)
 
     if cfg.summary:
         summary_rows = summarize_by_label_set(rows)
-        summary_path = cfg.out_dir / f"eval_matrix_summary_{common.timestamp()}.csv"
+        summary_path = out_dir / f"eval_matrix_summary_{common.timestamp()}.csv"
         common.write_csv(summary_path, summary_rows, ["label_set", "count", "avg_elapsed_ms", "p50_elapsed_ms", "p95_elapsed_ms"])
 
 
@@ -155,7 +156,7 @@ def run(cfg: Config) -> None:
 @click.option("--images", multiple=True, required=True, type=click.Path(path_type=Path))
 @click.option("--domain-top-n", default=2, show_default=True, type=int)
 @click.option("--top-k", default=5, show_default=True, type=int)
-@click.option("--out-dir", default="data_results", show_default=True, type=click.Path(path_type=Path))
+@click.option("--out-dir", type=click.Path(path_type=Path))
 @click.option("--summary", is_flag=True, default=False)
 @click.option("--select-domain-n", type=int, default=None)
 @click.option("--select-label-n", type=int, default=None)
@@ -167,7 +168,7 @@ def cli(
     images: tuple[Path, ...],
     domain_top_n: int,
     top_k: int,
-    out_dir: Path,
+    out_dir: Path | None,
     summary: bool,
     select_domain_n: int | None,
     select_label_n: int | None,

tests/conftest.py

@@ -6,7 +6,7 @@ import pytest
 from PIL import Image
 from fastapi.testclient import TestClient
 
-from app.main import build_app
+from api.main import build_app
 from tests.fakes import FakeClipStore, FakeTwoStageClassifier
 
 

tests/fakes.py

@@ -2,10 +2,10 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 
-from app.banks import EmbeddingBank, LabelSetBank
-from app.label_hash import stable_hash
-from app.results import ClassificationResult, StageTimings
-from app.schemas import LabelSet
+from api.banks import EmbeddingBank, LabelSetBank
+from api.label_hash import stable_hash
+from api.results import ClassificationResult, StageTimings
+from api.schemas import LabelSet
 
 
 class FakeClipStore:

tests/test_integration_real_clip.py

@@ -6,9 +6,9 @@ import pytest
 from PIL import Image
 from fastapi.testclient import TestClient
 
-from app.main import build_app
-from app.clip_store import ClipStore
-from app.clip_service import TwoStageClassifier
+from api.main import build_app
+from api.clip_store import ClipStore
+from api.clip_service import TwoStageClassifier
 
 
 @pytest.mark.integration

uv.lock

@@ -366,6 +366,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" },
 ]
 
+[[package]]
+name = "markdown"
+version = "3.7"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/54/28/3af612670f82f4c056911fbbbb42760255801b3068c48de792d354ff4472/markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2", size = 357086, upload-time = "2024-08-16T15:55:17.812Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/08/83871f3c50fc983b88547c196d11cf8c3340e37c32d2e9d6152abe2c61f7/Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803", size = 106349, upload-time = "2024-08-16T15:55:16.176Z" },
+]
+
 [[package]]
 name = "markupsafe"
 version = "3.0.3"
@@ -621,6 +630,7 @@ version = "0.1.0"
 source = { editable = "." }
 dependencies = [
     { name = "fastapi" },
+    { name = "markdown" },
     { name = "pillow" },
     { name = "pydantic" },
     { name = "torch" },
@@ -644,6 +654,7 @@ requires-dist = [
     { name = "datasets", marker = "extra == 'dev'", specifier = "==2.21.0" },
     { name = "fastapi", specifier = "==0.115.6" },
     { name = "httpx", marker = "extra == 'dev'", specifier = "==0.27.2" },
+    { name = "markdown", specifier = "==3.7" },
     { name = "pillow", specifier = "==10.4.0" },
     { name = "pydantic", specifier = "==2.8.2" },
     { name = "pytest", marker = "extra == 'dev'", specifier = "==8.3.2" },