Commit
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f8a298b
1
Parent(s):
d654c4d
Update app.py
Browse files
app.py
CHANGED
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@@ -75,9 +75,6 @@ def render_svg(svg):
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def render_metadata():
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"""Renders the metadata."""
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html = r"""<p align="center">
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<img src="./assets/glotlid_logo.svg" alt="GlotLID" width="30%" />
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</p>
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<p align="center">
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<a href="https://huggingface.co/cis-lmu/glotlid"><img alt="HuggingFace Model" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-8A2BE2"></a>
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<a href="https://github.com/cisnlp/GlotLID"><img alt="GitHub" src="https://img.shields.io/badge/%F0%9F%A4%97%20GitHub-orange"></a>
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<a href="https://github.com/cisnlp/GlotLID/blob/main/LICENSE"><img alt="GitHub license" src="https://img.shields.io/github/license/cisnlp/GlotLID?logoColor=blue"></a>
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@@ -87,6 +84,21 @@ def render_metadata():
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c = st.container()
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c.write(html, unsafe_allow_html=True)
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@st.cache_data
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def convert_df(df):
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# IMPORTANT: Cache the conversion to prevent computation on every rerun
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@@ -276,3 +288,7 @@ with tab2:
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file_name="GlotLID.csv",
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mime="text/csv",
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)
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def render_metadata():
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"""Renders the metadata."""
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html = r"""<p align="center">
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<a href="https://huggingface.co/cis-lmu/glotlid"><img alt="HuggingFace Model" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-8A2BE2"></a>
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<a href="https://github.com/cisnlp/GlotLID"><img alt="GitHub" src="https://img.shields.io/badge/%F0%9F%A4%97%20GitHub-orange"></a>
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<a href="https://github.com/cisnlp/GlotLID/blob/main/LICENSE"><img alt="GitHub license" src="https://img.shields.io/github/license/cisnlp/GlotLID?logoColor=blue"></a>
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c = st.container()
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c.write(html, unsafe_allow_html=True)
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@st.cache_data
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def citation():
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"""Renders the metadata."""
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_CITATION = """
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@inproceedings{
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kargaran2023glotlid,
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title={GlotLID: Language Identification for Low-Resource Languages},
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author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich},
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booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
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year={2023},
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url={https://openreview.net/forum?id=dl4e3EBz5j}
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}"""
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st.code(_CITATION, language="python", line_numbers=False)
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@st.cache_data
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def convert_df(df):
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# IMPORTANT: Cache the conversion to prevent computation on every rerun
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file_name="GlotLID.csv",
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mime="text/csv",
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)
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citation()
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