Commit
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50002b2
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Parent(s):
a5766c6
Create language tabs
Browse files
README.md
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---
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title: Spanish NLP Initiatives
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emoji:
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colorFrom: yellow
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colorTo: yellow
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sdk: gradio
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sdk_version: 4.26.0
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app_file: app.py
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pinned:
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license: apache-2.0
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---
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---
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title: Spanish NLP Initiatives
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emoji: 🚀
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colorFrom: yellow
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colorTo: yellow
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sdk: gradio
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sdk_version: 4.26.0
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app_file: app.py
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pinned: true
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license: apache-2.0
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---
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app.py
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@@ -21,25 +21,55 @@ def update_table(search_query):
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with gr.Blocks() as app:
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gr.
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app.launch()
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with gr.Blocks() as app:
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with gr.Tabs():
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with gr.TabItem("Español"):
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gr.Markdown(
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"""
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# 🚀 Iniciativas de PLN en español
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Descubre las iniciativas impulsando el PLN en español y lenguas cooficiales en LATAM y España.
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Ayúdanos a expandir esta lista. [Comenta](https://huggingface.co/spaces/somosnlp/spanish-nlp-initiatives/discussions) y contribuye para hacerla lo más completa posible y que cada iniciativa pueda tener la visibilidad que se merece. ¡Gracias!
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"""
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)
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with gr.Row():
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search_box = gr.Textbox(
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placeholder="Buscar...", label="Filtra la tabla"
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)
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with gr.Row():
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table = gr.Dataframe(
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value=df,
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label="Iniciativas de PLN en español",
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show_label=False,
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interactive=False,
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wrap=True,
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column_widths=["40%", "20%", "10%", "25%", "15%"],
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)
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search_box.change(fn=update_table, inputs=search_box, outputs=table)
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with gr.TabItem("English"):
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gr.Markdown(
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"""
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# 🚀 English NLP Initiatives
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Discover the initiatives driving NLP advancements in Spanish and other low-resource languages spoken in LatAm and Spain."
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Help us expand this list! [Comment](https://huggingface.co/spaces/somosnlp/spanish-nlp-initiatives/discussions) and contribute to make it comprehensive so every initiative gets the visibility it deserves. Thank you!
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"""
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)
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with gr.Row():
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search_box = gr.Textbox(placeholder="Type to search...", label="Search")
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with gr.Row():
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table = gr.Dataframe(
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value=df,
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label="Spanish NLP Initiatives",
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show_label=False,
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interactive=False,
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wrap=True,
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column_widths=["40%", "20%", "10%", "25%", "15%"],
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)
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search_box.change(fn=update_table, inputs=search_box, outputs=table)
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app.launch()
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