Add files

.gitattributes

@@ -25,7 +25,6 @@
 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,162 @@
+gradio_cached_examples/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

.pre-commit-config.yaml

@@ -0,0 +1,60 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: check-executables-have-shebangs
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-shebang-scripts-are-executable
+      - id: check-toml
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+        args: ["--fix=lf"]
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/myint/docformatter
+    rev: v1.7.5
+    hooks:
+      - id: docformatter
+        args: ["--in-place"]
+  - repo: https://github.com/pycqa/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+        args: ["--profile", "black"]
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.8.0
+    hooks:
+      - id: mypy
+        args: ["--ignore-missing-imports"]
+        additional_dependencies:
+          [
+            "types-python-slugify",
+            "types-requests",
+            "types-PyYAML",
+            "types-pytz",
+          ]
+  - repo: https://github.com/psf/black
+    rev: 24.2.0
+    hooks:
+      - id: black
+        language_version: python3.10
+        args: ["--line-length", "119"]
+  - repo: https://github.com/kynan/nbstripout
+    rev: 0.7.1
+    hooks:
+      - id: nbstripout
+        args:
+          [
+            "--extra-keys",
+            "metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
+          ]
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.7.1
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-pyupgrade
+        args: ["--py37-plus"]
+      - id: nbqa-isort
+        args: ["--float-to-top"]

.vscode/settings.json

@@ -0,0 +1,30 @@
+{
+    "editor.formatOnSave": true,
+    "files.insertFinalNewline": false,
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+        "editor.formatOnType": true,
+        "editor.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+    },
+    "[jupyter]": {
+        "files.insertFinalNewline": false
+    },
+    "black-formatter.args": [
+        "--line-length=119"
+    ],
+    "isort.args": ["--profile", "black"],
+    "flake8.args": [
+        "--max-line-length=119"
+    ],
+    "ruff.lint.args": [
+        "--line-length=119"
+    ],
+    "notebook.output.scrolling": true,
+    "notebook.formatOnCellExecution": true,
+    "notebook.formatOnSave.enabled": true,
+        "notebook.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+}

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 hysts
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,12 +1,15 @@
 ---
-title: Historical Spaces Of The Week
-emoji: 💻
-colorFrom: green
+title: Historical Spaces of the Week
+emoji: ⚡
+colorFrom: red
 colorTo: purple
 sdk: gradio
 sdk_version: 4.19.2
+python_version: 3.10.13
 app_file: app.py
 pinned: false
+license: mit
+header: mini
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,296 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import dataclasses
+import datetime
+import pathlib
+
+import datasets
+import gradio as gr
+import pandas as pd
+import tqdm.auto
+from huggingface_hub import HfApi
+
+from constants import HARDWARE_CHOICES, SDK_CHOICES, SLEEP_TIME_CHOICES, STATUS_CHOICES
+from demo_list import DemoInfo, DemoList
+
+TITLE = "# Historical Spaces of the Week"
+
+repo_dir = pathlib.Path(__file__).parent.absolute()
+
+api = HfApi()
+
+df_pre = datasets.load_dataset("hysts-bot/spaces-of-the-week-pre-2024-01-08")["train"].to_pandas()
+df_post = datasets.load_dataset("hysts-bot/spaces-of-the-week")["train"].to_pandas()
+
+BEFORE_2024_01_08 = "before 2024-01-08"
+
+
+def get_space_info(df: pd.DataFrame, sort_by: list[str], ascending: list[bool]) -> pd.DataFrame:
+    data = []
+    for _, row in tqdm.auto.tqdm(df.iterrows(), total=len(df)):
+        space_id = row["space_id"]
+        try:
+            info = DemoInfo.from_space_id(space_id)
+            data.append({"featured_week": row.get("date", BEFORE_2024_01_08)} | dataclasses.asdict(info))
+        except Exception as e:
+            print(f"Failed to load {space_id}: {e}")
+            data.append(
+                {
+                    "featured_week": row.get("date", BEFORE_2024_01_08),
+                    "space_id": space_id,
+                    "url": f"https://huggingface.co/spaces/{space_id}",
+                    "title": row["title"],
+                    "owner": space_id.split("/")[0],
+                    "sdk": "",
+                    "sdk_version": "",
+                    "likes": None,
+                    "status": "",
+                    "last_modified": "",
+                    "sleep_time": 0,
+                    "replicas": 0,
+                    "private": True,
+                    "hardware": "",
+                    "suggested_hardware": "",
+                    "created": datetime.datetime.fromisoformat(row["created_at"]).strftime("%Y/%m/%d %H:%M:%S"),
+                }
+            )
+    return pd.DataFrame(data).sort_values(sort_by, ascending=ascending).reset_index(drop=True)
+
+
+df_merged = pd.concat(
+    [
+        get_space_info(df_post, sort_by=["featured_week", "space_id"], ascending=[False, True]),
+        get_space_info(df_pre, sort_by=["created", "space_id"], ascending=[False, True]),
+    ]
+).reset_index(drop=True)
+demo_list = DemoList(df_merged)
+
+
+def update_status_checkboxes(choices: list[str]) -> list[str]:
+    if "(ALL)" in choices:
+        return STATUS_CHOICES
+    elif "(NONE)" in choices:
+        return []
+    else:
+        return choices
+
+
+def update_hardware_checkboxes(choices: list[str]) -> list[str]:
+    if "(ALL)" in choices:
+        return HARDWARE_CHOICES
+    elif "(NONE)" in choices:
+        return []
+    else:
+        return choices
+
+
+def update_sdk_checkboxes(choices: list[str]) -> list[str]:
+    if "(ALL)" in choices:
+        return SDK_CHOICES
+    elif "(NONE)" in choices:
+        return []
+    else:
+        return choices
+
+
+def update_sleep_time_checkboxes(choices: list[str]) -> list[str]:
+    if "(ALL)" in choices:
+        return SLEEP_TIME_CHOICES
+    elif "(NONE)" in choices:
+        return []
+    else:
+        return choices
+
+
+DEFAULT_COLUMNS = [
+    "featured_week",
+    "status",
+    "hardware",
+    "title",
+    "owner",
+    "likes",
+    "created",
+    "sdk",
+]
+FEATURED_WEEKS = demo_list.df_raw.featured_week.unique().tolist()
+DEFAULT_FEATURED_WEEKS = FEATURED_WEEKS[:4]
+
+
+def update_df(
+    status: list[str],
+    hardware: list[str],
+    sdk: list[str],
+    sleep_time: list[str],
+    multiple_replicas: bool,
+    owner: str,
+    featured_weeks: list[str],
+    column_names: list[str],
+) -> pd.DataFrame:
+    return gr.DataFrame(
+        value=demo_list.filter(
+            status,
+            hardware,
+            sdk,
+            sleep_time,
+            multiple_replicas,
+            owner,
+            featured_weeks,
+            column_names,
+        ),
+        datatype=demo_list.get_column_datatypes(column_names),
+    )
+
+
+def update_num_spaces(df: pd.DataFrame) -> str:
+    return f"{len(df)} / {len(demo_list.df_raw)}"
+
+
+with gr.Blocks(css="style.css") as demo:
+    gr.Markdown(TITLE)
+    with gr.Accordion(label="Filter", open=True):
+        with gr.Group():
+            featured_weeks = gr.Dropdown(
+                label="Featured weeks",
+                choices=FEATURED_WEEKS,
+                value=DEFAULT_FEATURED_WEEKS,
+                multiselect=True,
+            )
+            with gr.Row():
+                reset_featured_weeks_button = gr.Button("Reset")
+                select_all_featured_weeks_button = gr.Button("Select all")
+                clear_featured_weeks_button = gr.Button("Clear")
+        with gr.Accordion(label="Advanced", open=False):
+            status = gr.CheckboxGroup(
+                label="Status",
+                choices=["(ALL)", "(NONE)"] + STATUS_CHOICES,
+                value=STATUS_CHOICES,
+                type="value",
+            )
+            hardware = gr.CheckboxGroup(
+                label="Hardware",
+                choices=["(ALL)", "(NONE)"] + HARDWARE_CHOICES,
+                value=HARDWARE_CHOICES,
+                type="value",
+            )
+            sdk = gr.CheckboxGroup(
+                label="SDK",
+                choices=["(ALL)", "(NONE)"] + SDK_CHOICES,
+                value=SDK_CHOICES,
+                type="value",
+            )
+            sleep_time = gr.CheckboxGroup(
+                label="Sleep time",
+                choices=["(ALL)", "(NONE)"] + SLEEP_TIME_CHOICES,
+                value=SLEEP_TIME_CHOICES,
+                type="value",
+            )
+            multiple_replicas = gr.Checkbox(label="Multiple replicas", value=False)
+            owner = gr.Dropdown(
+                label="Owner",
+                choices=["(ALL)"] + sorted(demo_list.df_raw.owner.unique().tolist()),
+                value="(ALL)",
+            )
+        with gr.Group():
+            column_names = gr.CheckboxGroup(label="Columns", choices=demo_list.column_names, value=DEFAULT_COLUMNS)
+        apply_button = gr.Button("Apply")
+
+    num_spaces = gr.Textbox(label="Number of Spaces", interactive=False)
+    df = gr.Dataframe(
+        value=demo_list.df_prettified,
+        datatype=demo_list.get_column_datatypes(demo_list.column_names),
+        type="pandas",
+        row_count=(0, "dynamic"),
+        height=1000,
+        elem_id="table",
+        interactive=False,
+    )
+
+    status.input(
+        fn=update_status_checkboxes,
+        inputs=status,
+        outputs=status,
+        queue=False,
+        show_progress=False,
+        api_name=False,
+    )
+    hardware.input(
+        fn=update_hardware_checkboxes,
+        inputs=hardware,
+        outputs=hardware,
+        queue=False,
+        show_progress=False,
+        api_name=False,
+    )
+    sdk.input(
+        fn=update_sdk_checkboxes,
+        inputs=sdk,
+        outputs=sdk,
+        queue=False,
+        show_progress=False,
+        api_name=False,
+    )
+    sleep_time.input(
+        fn=update_sleep_time_checkboxes,
+        inputs=sleep_time,
+        outputs=sleep_time,
+        queue=False,
+        show_progress=False,
+        api_name=False,
+    )
+    reset_featured_weeks_button.click(
+        fn=lambda: gr.Checkbox(value=DEFAULT_FEATURED_WEEKS),
+        outputs=featured_weeks,
+        queue=False,
+        api_name=False,
+    )
+    select_all_featured_weeks_button.click(
+        fn=lambda: gr.Checkbox(value=FEATURED_WEEKS),
+        outputs=featured_weeks,
+        queue=False,
+        api_name=False,
+    )
+    clear_featured_weeks_button.click(
+        fn=lambda: gr.Checkbox(value=[]),
+        outputs=featured_weeks,
+        queue=False,
+        api_name=False,
+    )
+    inputs = [
+        status,
+        hardware,
+        sdk,
+        sleep_time,
+        multiple_replicas,
+        owner,
+        featured_weeks,
+        column_names,
+    ]
+    apply_button.click(
+        fn=update_df,
+        inputs=inputs,
+        outputs=df,
+        api_name=False,
+    ).then(
+        fn=update_num_spaces,
+        inputs=df,
+        outputs=num_spaces,
+        queue=False,
+        api_name=False,
+    )
+    demo.load(
+        fn=update_df,
+        inputs=inputs,
+        outputs=df,
+        api_name=False,
+    ).then(
+        fn=update_num_spaces,
+        inputs=df,
+        outputs=num_spaces,
+        queue=False,
+        api_name=False,
+    )
+
+if __name__ == "__main__":
+    demo.queue(api_open=False).launch(show_api=False)

constants.py

@@ -0,0 +1,47 @@
+STATUS_CHOICES = [
+    "RUNNING",
+    "SLEEPING",
+    "PAUSED",
+    "RUNTIME_ERROR",
+    "BUILD_ERROR",
+    "CONFIG_ERROR",
+    "BUILDING",
+    "RUNNING_BUILDING",
+    "NO_APP_FILE",
+    "",
+]
+HARDWARE_CHOICES = [
+    "cpu-basic",
+    "cpu-upgrade",
+    "cpu-xl",
+    "t4-small",
+    "t4-medium",
+    "zero-a10g",
+    "a10g-small",
+    "a10g-large",
+    "a100-large",
+    "a10g-largex2",
+    "a10g-largex4",
+    "",
+]
+SDK_CHOICES = [
+    "gradio",
+    "streamlit",
+    "docker",
+    "static",
+    "",
+]
+SLEEP_TIME_INT_TO_STR = {
+    0: "null",
+    300: "5 minutes",
+    900: "15 minutes",
+    1800: "30 minutes",
+    3600: "1 hour",
+    36000: "10 hours",
+    86400: "24 hours",
+    172800: "48 hours",
+    259200: "72 hours",
+    604800: "1 week",
+}
+SLEEP_TIME_CHOICES = list(SLEEP_TIME_INT_TO_STR.values())
+SLEEP_TIME_STR_TO_INT = {v: k for k, v in SLEEP_TIME_INT_TO_STR.items()}

demo_list.py

@@ -0,0 +1,188 @@
+import dataclasses
+import datetime
+import operator
+import pathlib
+
+import numpy as np
+import pandas as pd
+import tqdm.auto
+import yaml
+from huggingface_hub import HfApi
+
+from constants import SLEEP_TIME_INT_TO_STR, SLEEP_TIME_STR_TO_INT
+
+
+@dataclasses.dataclass(frozen=True)
+class DemoInfo:
+    space_id: str
+    url: str
+    title: str
+    owner: str
+    sdk: str
+    sdk_version: str
+    likes: int
+    status: str
+    last_modified: str
+    sleep_time: int
+    replicas: int
+    private: bool
+    hardware: str
+    suggested_hardware: str
+    created: str = ""
+
+    def __post_init__(self):
+        object.__setattr__(self, "last_modified", DemoInfo.convert_timestamp(self.last_modified))
+        object.__setattr__(self, "created", DemoInfo.convert_timestamp(self.created))
+
+    @staticmethod
+    def convert_timestamp(timestamp: str | datetime.datetime) -> str:
+        if isinstance(timestamp, datetime.datetime):
+            return timestamp.strftime("%Y/%m/%d %H:%M:%S")
+        try:
+            return datetime.datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%S.%fZ").strftime("%Y/%m/%d %H:%M:%S")
+        except ValueError:
+            return timestamp
+
+    @classmethod
+    def from_space_id(cls, space_id: str) -> "DemoInfo":
+        api = HfApi()
+        space_info = api.space_info(repo_id=space_id)
+        card = space_info.cardData
+        runtime = space_info.runtime
+
+        return cls(
+            space_id=space_id,
+            url=f"https://huggingface.co/spaces/{space_id}",
+            title=card["title"] if "title" in card else "",
+            owner=space_id.split("/")[0],
+            sdk=card["sdk"],
+            sdk_version=card.get("sdk_version", ""),
+            likes=space_info.likes,
+            status=runtime.stage,
+            last_modified=space_info.lastModified,
+            sleep_time=runtime.sleep_time or 0,
+            replicas=runtime.raw["replicas"]["current"] or runtime.raw["replicas"]["requested"],
+            private=space_info.private,
+            hardware=runtime.hardware or runtime.requested_hardware or "",
+            suggested_hardware=card.get("suggested_hardware", ""),
+            created=space_info.created_at,
+        )
+
+
+def get_df_from_yaml(path: pathlib.Path | str) -> pd.DataFrame:
+    with pathlib.Path(path).open() as f:
+        data = yaml.safe_load(f)
+    demo_info = []
+    for space_id in tqdm.auto.tqdm(list(data)):
+        base_info = DemoInfo.from_space_id(space_id)
+        info = DemoInfo(**(dataclasses.asdict(base_info) | data[space_id]))
+        demo_info.append(info)
+    return pd.DataFrame([dataclasses.asdict(info) for info in demo_info])
+
+
+class Prettifier:
+    @staticmethod
+    def create_link(text: str, url: str) -> str:
+        return f'<a href={url} target="_blank">{text}</a>'
+
+    @staticmethod
+    def to_div(text: str | None, category_name: str) -> str:
+        if text is None:
+            text = ""
+        class_name = f"{category_name}-{text.lower()}"
+        return f'<div class="{class_name}">{text}</div>'
+
+    @staticmethod
+    def add_div_tag_to_replicas(replicas: int) -> str:
+        if replicas == 0:
+            return ""
+        if replicas == 1:
+            return "1"
+        return f'<div class="multiple-replicas">{replicas}</div>'
+
+    @staticmethod
+    def add_div_tag_to_sleep_time(sleep_time_s: str, hardware: str) -> str:
+        if hardware == "cpu-basic":
+            return f'<div class="sleep-time-cpu-basic">{sleep_time_s}</div>'
+        s = sleep_time_s.replace(" ", "-")
+        return f'<div class="sleep-time-{s}">{sleep_time_s}</div>'
+
+    def __call__(self, df: pd.DataFrame) -> pd.DataFrame:
+        new_rows = []
+        for _, row in df.iterrows():
+            new_row = dict(row) | {
+                "status": self.to_div(row.status, "status"),
+                "hardware": self.to_div(row.hardware, "hardware"),
+                "suggested_hardware": self.to_div(row.suggested_hardware, "hardware"),
+                "title": self.create_link(row.title, row.url),
+                "owner": self.create_link(row.owner, f"https://huggingface.co/{row.owner}"),
+                "sdk": self.to_div(row.sdk, "sdk"),
+                "sleep_time": (
+                    self.add_div_tag_to_sleep_time(SLEEP_TIME_INT_TO_STR[row.sleep_time], row.hardware)
+                    if ~np.isnan(row.sleep_time)
+                    else ""
+                ),
+                "replicas": self.add_div_tag_to_replicas(row.replicas),
+            }
+            new_rows.append(new_row)
+        return pd.DataFrame(new_rows, columns=df.columns)
+
+
+class DemoList:
+    COLUMN_INFO = [
+        ["featured_week", "str"],
+        ["status", "markdown"],
+        ["hardware", "markdown"],
+        ["title", "markdown"],
+        ["owner", "markdown"],
+        ["likes", "number"],
+        ["last_modified", "str"],
+        ["created", "str"],
+        ["sdk", "markdown"],
+        ["sdk_version", "str"],
+        ["suggested_hardware", "markdown"],
+        ["sleep_time", "markdown"],
+        ["replicas", "markdown"],
+    ]
+
+    def __init__(self, df: pd.DataFrame):
+        self.df_raw = df
+        self._prettifier = Prettifier()
+        self.df_prettified = self._prettifier(df).loc[:, self.column_names]
+
+    @property
+    def column_names(self):
+        return list(map(operator.itemgetter(0), self.COLUMN_INFO))
+
+    def get_column_datatypes(self, column_names: list[str]) -> list[str]:
+        mapping = dict(self.COLUMN_INFO)
+        return [mapping[name] for name in column_names]
+
+    def filter(
+        self,
+        status: list[str],
+        hardware: list[str],
+        sdk: list[str],
+        sleep_time: list[str],
+        multiple_replicas: bool,
+        owner: str,
+        featured_weeks: list[str],
+        column_names: list[str],
+    ) -> pd.DataFrame:
+        df = self.df_raw.copy()
+
+        if multiple_replicas:
+            df = df[self.df_raw.replicas > 1]
+        if owner != "(ALL)":
+            df = df[self.df_raw.owner == owner]
+
+        sleep_time_int = [SLEEP_TIME_STR_TO_INT[s] for s in sleep_time]
+        df = df[
+            (self.df_raw.status.isin(status))
+            & (self.df_raw.hardware.isin(hardware))
+            & (self.df_raw.sleep_time.isin(sleep_time_int))
+            & (self.df_raw.sdk.isin(sdk))
+            & (self.df_raw.featured_week.isin(featured_weeks))
+        ]
+
+        return self._prettifier(df).loc[:, column_names]

requirements.txt

@@ -0,0 +1,4 @@
+gradio==4.19.2
+huggingface-hub==0.20.3
+pandas==2.2.0
+tqdm==4.66.1

style.css

@@ -0,0 +1,104 @@
+h1 {
+  text-align: center;
+  display: block;
+}
+
+body a,
+#table a {
+  background-color: transparent;
+  color: #58a6ff;
+  text-decoration: none;
+}
+
+body a:active,
+body a:hover {
+  outline-width: 0;
+}
+
+body a:hover {
+  text-decoration: underline;
+}
+
+/* set colors for statuses */
+div.status-running {
+  color: green;
+}
+
+div.status-sleeping {
+  color: orange;
+}
+
+div.status-paused {
+  color: gray;
+}
+
+div.status-runtime_error,
+div.status-build_error {
+  color: red;
+}
+
+/* set colors for sdks */
+div.sdk-gradio {
+  color: orange;
+}
+
+div.sdk-docker {
+  color: deepskyblue;
+}
+
+/* set colors for hardware types */
+div.hardware-a100-large,
+div.hardware-zero-a10g,
+div.hardware-cpu-xl,
+div.hardware-a10g-largex4,
+div.hardware-a10g-largex2,
+div.hardware-a10g-large,
+div.hardware-a10g-small {
+  color: red;
+}
+
+div.hardware-t4-medium,
+div.hardware-t4-small {
+  color: orange;
+}
+
+div.hardware-cpu-upgrade {
+  color: green;
+}
+
+div.hardware-cpu-basic {
+  color: deepskyblue;
+}
+
+/* set colors for sleep time */
+div.sleep-time-cpu-basic {
+  color: gray;
+}
+
+div.sleep-time-5-minutes,
+div.sleep-time-10-minutes,
+div.sleep-time-15-minutes,
+div.sleep-time-30-minutes {
+  color: green;
+}
+
+div.sleep-time-1-hour,
+div.sleep-time-10-hours {
+  color: orange;
+}
+
+div.sleep-time-24-hours,
+div.sleep-time-48-hours,
+div.sleep-time-72-hours,
+div.sleep-time-1-week {
+  color: orangered;
+}
+
+div.sleep-time-null {
+  color: red;
+}
+
+/* set colors for replica */
+div.multiple-replicas {
+  color: red;
+}