Fix infinite startup and cluster side labeling

app.py

@@ -192,3 +192,4 @@ with tab3:
         st.markdown(f"#### {row['pitch_type']} comps")
         comps = nearest_comps(row, df_fit, scaler, nn, within_pitch_type=True, k=6)
         st.dataframe(comps, use_container_width=True)
+

requirements.txt

@@ -5,3 +5,4 @@ plotly==5.24.1
 scikit-learn==1.5.1
 pyarrow==16.1.0
 huggingface_hub==0.25.2
+

src/data.py

@@ -26,3 +26,4 @@ def load_statcast(start_date: str, end_date: str, force: bool = False) -> pd.Dat
         df = df[df["pitch_type"].notna()]
     df.to_parquet(cp, index=False)
     return df
+

src/tags.py

@@ -159,3 +159,4 @@ def xy_cluster_tags(df_with_clusters: pd.DataFrame) -> dict[int, str]:
         tags[c] = f"{dom_pt}: {shape} • " + " / ".join(flavor)
 
     return tags
+