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Sleeping
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Parent(s):
initial commit
Browse files- .gitignore +145 -0
- README.md +6 -0
- pages/__init__.py +2 -0
- pages/document.py +21 -0
- pages/search_engine.py +166 -0
- requirements.txt +5 -0
- server/api.py +65 -0
- streamlit_app.py +49 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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+
__pycache__/
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+
*.py[cod]
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+
*$py.class
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+
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+
# C extensions
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+
*.so
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+
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+
# Distribution / packaging
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+
.Python
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+
build/
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+
develop-eggs/
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+
dist/
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+
downloads/
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+
eggs/
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.eggs/
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lib/
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lib64/
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parts/
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+
sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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+
MANIFEST
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+
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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+
*.manifest
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+
*.spec
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+
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+
# Installer logs
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36 |
+
pip-log.txt
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37 |
+
pip-delete-this-directory.txt
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+
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+
# Unit test / coverage reports
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+
htmlcov/
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+
.tox/
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+
.nox/
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+
.coverage
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+
.coverage.*
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.cache
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+
nosetests.xml
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+
coverage.xml
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+
*.cover
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*.py,cover
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.hypothesis/
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+
.pytest_cache/
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+
cover/
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+
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# Translations
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+
*.mo
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+
*.pot
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+
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+
# Django stuff:
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59 |
+
*.log
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+
local_settings.py
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+
db.sqlite3
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+
db.sqlite3-journal
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+
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# Flask stuff:
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65 |
+
instance/
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66 |
+
.webassets-cache
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67 |
+
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68 |
+
# Scrapy stuff:
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+
.scrapy
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+
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+
# Sphinx documentation
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72 |
+
docs/_build/
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+
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# PyBuilder
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+
.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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+
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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README.md
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# Welcome to Streamlit!
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Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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pages/__init__.py
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from .search_engine import page as search_engine_page
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from .document import page as document_page
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pages/document.py
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import os
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import re
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import json
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import datetime
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import itertools
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import requests
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from PIL import Image
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import base64
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import streamlit as st
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def page():
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record = st.session_state.get("selected_record")
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st.set_page_config(
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page_title=f"Record {record['filename']}",
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page_icon="👨⚕️",
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layout="wide",
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initial_sidebar_state="collapsed",
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)
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st.button("Back", on_click=lambda: set_record(None))
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st.write(record)
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pages/search_engine.py
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import os
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import re
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import json
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import datetime
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import itertools
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import requests
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from PIL import Image
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import base64
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import streamlit as st
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from huggingface_hub import ModelSearchArguments
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import webbrowser
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from numerize.numerize import numerize
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def paginator(label, articles, articles_per_page=10, on_sidebar=True):
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# https://gist.github.com/treuille/2ce0acb6697f205e44e3e0f576e810b7
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"""Lets the user paginate a set of article.
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Parameters
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----------
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label : str
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The label to display over the pagination widget.
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article : Iterator[Any]
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The articles to display in the paginator.
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articles_per_page: int
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The number of articles to display per page.
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on_sidebar: bool
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Whether to display the paginator widget on the sidebar.
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Returns
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-------
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Iterator[Tuple[int, Any]]
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An iterator over *only the article on that page*, including
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the item's index.
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"""
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# Figure out where to display the paginator
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if on_sidebar:
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location = st.sidebar.empty()
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else:
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location = st.empty()
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# Display a pagination selectbox in the specified location.
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articles = list(articles)
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n_pages = (len(articles) - 1) // articles_per_page + 1
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page_format_func = lambda i: f"Results {i*10} to {i*10 +10 -1}"
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page_number = location.selectbox(label, range(n_pages), format_func=page_format_func)
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# Iterate over the articles in the page to let the user display them.
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min_index = page_number * articles_per_page
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max_index = min_index + articles_per_page
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return itertools.islice(enumerate(articles), min_index, max_index)
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def page():
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st.set_page_config(
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page_title="HF Search Engine",
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page_icon="🔎",
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layout="wide",
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initial_sidebar_state="auto",
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# menu_items={
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# "Get Help": "https://www.extremelycoolapp.com/help",
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# "Report a bug": "https://www.extremelycoolapp.com/bug",
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# "About": "# This is a header. This is an *extremely* cool app!",
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# },
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)
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### SIDEBAR
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search_backend = st.sidebar.selectbox(
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"Search Engine",
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["hfapi", "custom"],
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format_func=lambda x: {"hfapi": "Huggingface API", "custom": "Sentence Bert"}[x],
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)
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limit_results = st.sidebar.number_input("Limit results", min_value=0, value=10)
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st.sidebar.markdown("# Filters")
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args = ModelSearchArguments()
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library = st.sidebar.multiselect(
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"Library", args.library.values(), format_func=lambda x: {v: k for k, v in args.library.items()}[x]
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)
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task = st.sidebar.multiselect(
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"Task", args.pipeline_tag.values(), format_func=lambda x: {v: k for k, v in args.pipeline_tag.items()}[x]
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)
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### MAIN PAGE
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st.markdown(
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"<h1 style='text-align: center; '>🔎🤗 HF Search Engine</h1>",
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unsafe_allow_html=True,
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)
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# Search bar
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search_query = st.text_input(
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"Search for a model in HuggingFace", value="", max_chars=None, key=None, type="default"
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)
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# Search API
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endpoint = "http://localhost:5000"
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headers = {
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"Content-Type": "application/json",
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"api-key": "password",
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}
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search_url = f"{endpoint}/{search_backend}/search"
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filters = {
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"library": library,
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"task": task,
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}
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search_body = {
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"query": search_query,
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"filters": json.dumps(filters, default=str),
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"limit": limit_results,
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}
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if search_query != "":
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response = requests.post(search_url, headers=headers, json=search_body).json()
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record_list = []
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_ = [
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record_list.append(
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{
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"modelId": record["modelId"],
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"tags": record["tags"],
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"downloads": record["downloads"],
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"likes": record["likes"],
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}
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)
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for record in response.get("value")
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]
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# filter results
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if record_list:
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st.write(f'Search results ({response.get("count")}):')
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if response.get("count") > 100:
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shown_results = 100
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else:
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shown_results = response.get("count")
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for i, record in paginator(
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f"Select results (showing {shown_results} of {response.get('count')} results)",
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record_list,
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):
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col1, col2, col3 = st.columns([5,1,1])
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col1.metric("Model", record["modelId"])
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col2.metric("N° downloads", numerize(record["downloads"]))
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col3.metric("N° likes", numerize(record["likes"]))
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st.button(f"View model", on_click=lambda record=record: webbrowser.open(f"https://huggingface.co/{record['modelId']})"), key=record["modelId"])
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st.markdown(f"**Tags:** {' • '.join(record['tags'])}")
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# TODO: embed huggingface spaces
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150 |
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# import streamlit.components.v1 as components
|
151 |
+
# components.html(
|
152 |
+
# f"""
|
153 |
+
# <link rel="stylesheet" href="https://gradio.s3-us-west-2.amazonaws.com/2.6.2/static/bundle.css">
|
154 |
+
# <div id="target"></div>
|
155 |
+
# <script src="https://gradio.s3-us-west-2.amazonaws.com/2.6.2/static/bundle.js"></script>
|
156 |
+
# <script>
|
157 |
+
# launchGradioFromSpaces("abidlabs/question-answering", "#target")
|
158 |
+
# </script>
|
159 |
+
# """,
|
160 |
+
# height=400,
|
161 |
+
# )
|
162 |
+
|
163 |
+
st.markdown("---")
|
164 |
+
|
165 |
+
else:
|
166 |
+
st.write(f"No Search results, please try again with different keywords")
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requirements.txt
ADDED
@@ -0,0 +1,5 @@
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1 |
+
altair
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2 |
+
pandas
|
3 |
+
streamlit
|
4 |
+
huggingface_hub
|
5 |
+
numerize
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server/api.py
ADDED
@@ -0,0 +1,65 @@
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|
1 |
+
from flask import Flask, request
|
2 |
+
import json
|
3 |
+
from huggingface_hub import HfApi, ModelFilter, DatasetFilter, ModelSearchArguments
|
4 |
+
from pprint import pprint
|
5 |
+
|
6 |
+
app = Flask(__name__)
|
7 |
+
|
8 |
+
|
9 |
+
@app.route("/hello")
|
10 |
+
def hello():
|
11 |
+
return "<h1 style='color:blue'>Hello There!</h1>"
|
12 |
+
|
13 |
+
|
14 |
+
@app.route("/hfapi/search", methods=["POST"])
|
15 |
+
def hf_api():
|
16 |
+
request_data = request.get_json()
|
17 |
+
query = request_data.get("query")
|
18 |
+
filters = json.loads(request_data.get("filters"))
|
19 |
+
limit = request_data.get("limit", 5)
|
20 |
+
print("query", query)
|
21 |
+
print("filters", filters)
|
22 |
+
print("limit", limit)
|
23 |
+
|
24 |
+
api = HfApi()
|
25 |
+
filt = ModelFilter(
|
26 |
+
task=filters["task"],
|
27 |
+
library=filters["library"],
|
28 |
+
)
|
29 |
+
models = api.list_models(search=query, filter=filt, limit=limit, full=True)
|
30 |
+
res = []
|
31 |
+
for model in models:
|
32 |
+
model = model.__dict__
|
33 |
+
res.append(
|
34 |
+
{
|
35 |
+
"modelId": model.get("modelId"),
|
36 |
+
"tags": model.get("tags"),
|
37 |
+
"downloads": model.get("downloads"),
|
38 |
+
"likes": model.get("likes"),
|
39 |
+
}
|
40 |
+
)
|
41 |
+
count = len(res)
|
42 |
+
if len(res) > limit:
|
43 |
+
res = res[:limit]
|
44 |
+
pprint(res)
|
45 |
+
return json.dumps({"value": res, "count": count})
|
46 |
+
|
47 |
+
|
48 |
+
@app.route("/custom/search", methods=["POST"])
|
49 |
+
def main():
|
50 |
+
request_data = request.get_json()
|
51 |
+
query = request_data.get("query")
|
52 |
+
filters = json.loads(request_data.get("filters"))
|
53 |
+
limit = request_data.get("limit", 5)
|
54 |
+
print("query", query)
|
55 |
+
print("filters", filters)
|
56 |
+
print("limit", limit)
|
57 |
+
|
58 |
+
# records, count_filtered = search_query(query=request_data["query"], filters=filters, top=request_data["top"])
|
59 |
+
# assert len(set([record["id"] for record in records])) == len(records), "ids of results are not unique"
|
60 |
+
# res = {"value": records, "count": count_filtered}
|
61 |
+
# return json.dumps(res, indent=2)
|
62 |
+
|
63 |
+
|
64 |
+
if __name__ == "__main__":
|
65 |
+
app.run(host="localhost", port=5000)
|
streamlit_app.py
ADDED
@@ -0,0 +1,49 @@
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|
1 |
+
import streamlit as st
|
2 |
+
from pages import search_engine_page, document_page
|
3 |
+
|
4 |
+
|
5 |
+
if "selected_record" not in st.session_state:
|
6 |
+
st.session_state["selected_record"] = None
|
7 |
+
|
8 |
+
|
9 |
+
def set_record(record):
|
10 |
+
st.session_state["selected_record"] = record
|
11 |
+
|
12 |
+
|
13 |
+
if not st.session_state["selected_record"]: # search engine page
|
14 |
+
search_engine_page()
|
15 |
+
|
16 |
+
else: # a record has been selected
|
17 |
+
document_page()
|
18 |
+
|
19 |
+
|
20 |
+
st.markdown(
|
21 |
+
"""<style>
|
22 |
+
a:link , a:visited{
|
23 |
+
color: blue;
|
24 |
+
background-color: transparent;
|
25 |
+
text-decoration: underline;
|
26 |
+
}
|
27 |
+
|
28 |
+
a:hover, a:active {
|
29 |
+
color: red;
|
30 |
+
background-color: transparent;
|
31 |
+
text-decoration: underline;
|
32 |
+
}
|
33 |
+
|
34 |
+
.footer {
|
35 |
+
# position: fixed;
|
36 |
+
left: 0;
|
37 |
+
bottom: 0;
|
38 |
+
width: 100%;
|
39 |
+
background-color: white;
|
40 |
+
color: black;
|
41 |
+
text-align: center;
|
42 |
+
}
|
43 |
+
</style>
|
44 |
+
<div class="footer">
|
45 |
+
<p>Made with ❤️ by <b>Nouamane Tazi</b></p>
|
46 |
+
</div>
|
47 |
+
""",
|
48 |
+
unsafe_allow_html=True,
|
49 |
+
)
|