Added some Markdown

app.py

@@ -2,13 +2,28 @@ import gradio as gr
 import pandas as pd
 
 block = gr.Blocks()
+NUM_DATASETS = 0
+NUM_SCORES = 0
+NUM_MODELS = 0
 
 with block:
-    gr.Markdown("Leaderboard de modelos de Embeddings en español")
+    gr.Markdown(f"""**Leaderboard de modelos de Embeddings en español
+    Massive Text Embedding Benchmark (MTEB) Leaderboard.**
+    - **Total Datasets**: {NUM_DATASETS}
+    - **Total Languages**: 1
+    - **Total Scores**: {NUM_SCORES}
+    - **Total Models**: {NUM_MODELS}
+    """)
     with gr.Tabs():
         with gr.TabItem("Overall"):
             with gr.Row():
-                # Create and display a sample DataFrame
+                    gr.Markdown("""
+                    **Tabla General de Embeddings**
+                    
+                    - **Metricas:** Varias, con sus respectivas medias.
+                    - **Idioma:** Español
+                    """)
+            with gr.Row():
                 overall = pd.DataFrame({
                     'Model name': ['hiiamsid/sentence_similarity_spanish_es', 'clibrain/paraphrase-multilingual-mpnet-base-v2-ft-stsb_multi_mt-embeddings', 'intfloat/mulilingua-e5-large','hackathon-pln-es/paraphrase-spanish-distilroberta'],
                     'Model Size (GB)': 100,