fix: fix naming

src/streamlit_app.py

@@ -58,31 +58,36 @@ COLORS = {
 
 
 ASSAY_TYPE_MAPPING = {
-    'ATAC-seq': 'Chromatin Accessibility',
-    'DNase-seq': 'Chromatin Accessibility',
-    'Histone ChIP-seq': 'Histone modifications',
-    'TF ChIP-seq': 'Chromatin Accessibility',
-    'PRO-cap': 'Transcription initiation',
+    'ATAC-seq': 'chromatin accessibility',
+    'DNase-seq': 'chromatin accessibility',
+    'Histone ChIP-seq': 'histone modifications',
+    'TF ChIP-seq': 'chromatin accessibility',
+    'PRO-cap': 'transcription initiation',
     'eCLIP': 'RNA binding sites',
-    'RNA-seq': 'Gene Expression',
+    'RNA-seq': 'gene expression',
     'ribo-seq': 'mRNA translation',
-    'Annotation': 'Genome Annotation',
+    'Annotation': 'genome annotation',
+    "Exon": "exon",
+    "Intron": "intron",
+    "Splice acceptor": "splice acceptor",
+    "Start codon": "start codon",
+
 }
 
 ASSAY_COLORS = {
-    'Chromatin Accessibility': '#004697',
-    'Histone modifications': '#cc0000',
-    'Transcription initiation': '#ff9900',
+    'chromatin accessibility': '#004697',
+    'histone modifications': '#cc0000',
+    'transcription initiation': '#ff9900',
     'RNA binding sites': '#9933cc',
-    'Gene Expression': '#009900',
+    'gene expression': '#009900',
     'mRNA translation': '#ff6699',
-    'Genome Annotation': '#ffcc00',
+    'genome annotation': '#ffcc00',
     "intron": '#004697',
     "exon": '#cc0000',
     "splice acceptor": '#ff9900',
     "start codon": '#9933cc',
 }
-ASSAY_COLORS["Other"] = "#808080"
+ASSAY_COLORS["other"] = "#808080"
 
 MODEL_COLORS = {
     "NTv3 650M (pos)": COLORS['blue_0'],
@@ -618,7 +623,7 @@ def build_convergence_df(
     # -------------------------
     # X axis selection
     # -------------------------
-    if x_mode == "Steps":
+    if x_mode == "Steps (billions)":
         if "best_step" not in df.columns:
             return pd.DataFrame(columns=["Model", "X", "Performance"])
 
@@ -760,6 +765,33 @@ def main():
         if sidebar_toggle(model, value=True, key=f"model_{model}"):
             selected_models.append(model)
 
+        # -------------------------
+    # ✅ Validation: require ≥1 selection per relevant category
+    # -------------------------
+    missing = []
+
+    # Always required
+    if not selected_species:
+        missing.append("Species")
+    if not selected_models:
+        missing.append("Models")
+
+    # Required depending on benchmark
+    if cfg.get("has_assay_type", False) and not selected_assays:
+        missing.append("Assay types")
+
+    if benchmark_name == "Genome Annotation" and not selected_datasets:
+        missing.append("Genome annotations")
+
+    if missing:
+        # Show a single message and prevent *any* further display
+        st.error(
+            "Please select at least one item in each category. Currently missing: "
+            + ", ".join(missing)
+            + "."
+        )
+        st.stop()
+
     # --- Main content ---
     leaderboard_df = build_leaderboard(
         benchmark_name, selected_species, selected_assays, selected_models, selected_datasets
@@ -926,7 +958,7 @@ def main():
 
             fig_scatter.update_layout(
                 legend=dict(
-                    title="Assay type",
+                    title="Assay type" if benchmark_name == "Functional Tracks" else "Genome Annotation",
                     x=0.98,
                     y=0.1,
                     xanchor="right",
@@ -944,7 +976,7 @@ def main():
 
         x_mode = st.selectbox(
             "X-axis",
-            options=["GPU hours", "Steps"],
+            options=["GPU (hours)", "Steps (billions)"],
             index=0,
             key=f"conv_x_mode_{benchmark_name}",
         )
@@ -973,7 +1005,7 @@ def main():
             )
             fig_conv.update_layout(
                 height=550,
-                xaxis_title=("GPU hours" if x_mode == "GPU hours" else x_mode),
+                xaxis_title=("GPU (hours)" if x_mode == "GPU (hours)" else x_mode),
                 yaxis_title=cfg["metric_label"],
                 plot_bgcolor="rgba(0,0,0,0)",
                 paper_bgcolor="rgba(0,0,0,0)",
@@ -985,7 +1017,7 @@ def main():
             )
 
             # Log scale only makes sense for hours (and sometimes best_step)
-            if x_mode in ["GPU hours"]:
+            if x_mode in ["GPU (hours)"]:
                 fig_conv.update_xaxes(
                 type="log",
                 dtick=1,