first commit

.gitignore

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+# Local stuff
+.DS_Store
+.vscode/
+.vim/
+
+# 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/
+pip-wheel-metadata/
+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/
+
+# 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
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.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
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+*.env
+.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/
+
+# Terraform stuff
+*.tfstate
+*.tfstate.backup
+.terraform**
+**.tfvars
+
+# Alembic / database artifcats
+**.db

Overview.py

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+import streamlit as st
+
+st.set_page_config(
+    page_title="Overview",
+    page_icon="🤗",
+)
+
+st.write("# Welcome to Cats vs Dogs! 👋")
+
+st.markdown(
+    """
+    In this competition, you will be creating an image classifier that can distinguish between cats and dogs.
+    You can use any model you want, but we recommend using a pretrained model from the [🤗 Hub](https://huggingface.co/models).
+
+    Rules:
+    - You can make upto 5 submissions per day.
+    - The test data has been divided into public and private splits.
+    - Your score on the public split will be shown on the leaderboard.
+    - Your final score will be based on your private split performance.
+    - The final rankings will be based on the private split performance.
+    - No cheating! You can only use the test data for inference. You cannot use it to train your model.
+    - No private sharing of code or data. You can discuss the competition on the forums, but please do not share any code or data.
+    - Have fun! 🤗
+
+    For detailed rules, please check the [rules page](https://huggingface.co/competitions/transformers-cats-vs-dogs).
+"""
+)

README.md

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+---
+title: Cats Vs Dogs
+emoji: 🏢
+colorFrom: indigo
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.10.0
+app_file: Overview.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

pages/1_🤗_Dataset.py

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+import streamlit as st
+import time
+import numpy as np
+
+
+def app():
+    st.set_page_config(page_title="Dataset", page_icon="📈")
+
+    st.markdown("# Dataset")
+    # st.sidebar.header("Dataset")
+    st.write(
+        """The dataset used for this competition can be found here: https://huggingface.co/datasets/cats_vs_dogs"""
+    )
+
+
+if __name__ == "__main__":
+    app()

pages/2_📝_Leaderboard.py

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+import streamlit as st
+import pandas as pd
+
+
+def fetch_leaderboard():
+    data_dict = {
+        "Team Name": ["Team 1", "Team 2", "Team 3", "Team 4", "Team 5"],
+        "Score": [0.9, 0.8, 0.7, 0.6, 0.5],
+        "Rank": [1, 2, 3, 4, 5],
+        "Submission Time": [
+            "2021-01-01 00:00:00",
+            "2021-01-01 00:00:00",
+            "2021-01-01 00:00:00",
+            "2021-01-01 00:00:00",
+            "2021-01-01 00:00:00",
+        ],
+    }
+    return pd.DataFrame(data_dict)
+
+
+def app():
+    st.set_page_config(page_title="Leaderboard", page_icon="🤗")
+    st.markdown("## Leaderboard")
+    lb = fetch_leaderboard()
+    st.table(lb)
+
+
+if __name__ == "__main__":
+    app()

pages/3_🔥_Submissions.py

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+import streamlit as st
+
+
+SUBMISSION_TEXT = """You can make upto 5 submissions per day.
+The test data has been divided into public and private splits.
+Your score on the public split will be shown on the leaderboard.
+Your final score will be based on your private split performance.
+The final rankings will be based on the private split performance.
+"""
+
+
+def app():
+    st.set_page_config(page_title="Submissions", page_icon="🤗")
+    st.write("## Submissions")
+    st.markdown(SUBMISSION_TEXT)
+    # add submissions history table
+    st.write("### Submissions History")
+    st.write("You have not made any submissions yet.")
+
+
+if __name__ == "__main__":
+    app()

requirements.txt

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+pandas==1.5.0