Implement MVP :)

.gitignore

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+venv

README.md

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 ---
-title: Spanish Nlp Initiatives
+title: Spanish NLP Initiatives
 emoji: 🐨
-colorFrom: green
-colorTo: purple
+colorFrom: yellow
+colorTo: yellow
 sdk: gradio
 sdk_version: 4.26.0
 app_file: app.py
 pinned: false
 license: apache-2.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import pandas as pd
+
+df = pd.read_csv("spanish_nlp_initiatives.csv")
+
+
+def update_table(search_query):
+    if search_query == "":
+        return df
+    else:
+        # Filter the dataframe based on the search query
+        filtered_df = df[
+            df.apply(
+                lambda row: row.astype(str)
+                .str.contains(search_query, case=False)
+                .any(),
+                axis=1,
+            )
+        ]
+        return filtered_df
+
+
+with gr.Blocks() as app:
+    gr.Markdown("# 🚀 Spanish NLP Initiatives")
+    gr.Markdown(
+        "Discover the initiatives driving NLP advancements in Spanish and other low-resource languages spoken in LatAm and Spain."
+    )
+    gr.Markdown(
+        "Help us expand this list! Comment and contribute to make it comprehensive so every initiative gets the visibility it deserves. Thank you!"
+    )
+
+    with gr.Row():
+        search_box = gr.Textbox(placeholder="Type to search...", label="Search")
+    with gr.Row():
+        table = gr.Dataframe(
+            value=df,
+            label="Spanish NLP Initiatives",
+            show_label=False,
+            interactive=False,
+            wrap=True,
+            column_widths=["40%", "20%", "10%", "25%", "15%"],
+        )
+    search_box.change(fn=update_table, inputs=search_box, outputs=table)
+
+app.launch()

requirements.txt

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+gradio==4.26.0
+pandas==2.2.1

spanish_nlp_initiatives.csv

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+Name, Type, Country, Language, URL
+SomosNLP, non-profit, World, Mix, somosnlp.org