chore: Update Hugging Face dataset dashboard with new framework choices

app.py

@@ -4,6 +4,20 @@ from toolz import groupby
 import plotly.express as px
 import pandas as pd
 
+choices = sorted(
+    [
+        "art",
+        "biology",
+        "code",
+        "distilabel",
+        "fiftyone",
+        "legal",
+        "medical",
+        "sentence-transformers",
+        "synthetic",
+    ]
+)
+
 
 def fetch_data(framework):
     r = httpx.get(f"https://huggingface.co/api/datasets?filter={framework}")
@@ -16,7 +30,7 @@ def fetch_data(framework):
 def generate_dashboard(data, grouped, framework):
     total_datasets = sum(len(v) for v in grouped.values())
 
-    dashboard = f"## Hugging Face Datasets for {framework} \n\n"
+    dashboard = f"## Hugging Face datasets for {framework} \n\n"
     dashboard += f"**Total number of datasets: {total_datasets}**\n\n"
     dashboard += f"**Total number of authors: {len(grouped)}**\n\n"
     dashboard += "### Datasets per Author\n\n"
@@ -89,8 +103,9 @@ def update_dashboard(framework):
 
 
 with gr.Blocks() as demo:
+    gr.Markdown("# View the growth of dataset frameworks/tags on the Hub")
     framework = gr.Dropdown(
-        choices=["distilabel", "sentence-transformers", "synthetic", "fiftyone"],
+        choices=choices,
         allow_custom_value=True,
     )
     plot = gr.Plot()