move search bar

app.py

@@ -151,12 +151,6 @@ with demo:
         with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
             with gr.Row():
                 with gr.Column():
-                    with gr.Row():
-                        search_bar = gr.Textbox(
-                            placeholder=" 🔍 Search for your model (separate multiple queries with `;`) and press ENTER...",
-                            show_label=False,
-                            elem_id="search-bar",
-                        )
                     with gr.Row():
                         with gr.Column(min_width=320):
                             shown_phenotypes = gr.CheckboxGroup(
@@ -196,27 +190,34 @@ with demo:
                             interactive=True,
                         )
                 with gr.Column(min_width=320):
-                    filter_columns_type = gr.CheckboxGroup(
-                        label="Model types",
-                        choices=[t.to_str() for t in ModelType],
-                        value=[t.to_str() for t in ModelType],
-                        interactive=True,
-                        elem_id="filter-columns-type",
-                    )
-                    filter_columns_precision = gr.CheckboxGroup(
-                        label="Precision",
-                        choices=[i.value.name for i in Precision],
-                        value=[i.value.name for i in Precision],
-                        interactive=True,
-                        elem_id="filter-columns-precision",
-                    )
-                    filter_columns_size = gr.CheckboxGroup(
-                        label="Model sizes (in billions of parameters)",
-                        choices=list(NUMERIC_INTERVALS.keys()),
-                        value=list(NUMERIC_INTERVALS.keys()),
-                        interactive=True,
-                        elem_id="filter-columns-size",
-                    )
+                    with gr.Row():
+                        search_bar = gr.Textbox(
+                            placeholder=" 🔍 Search for your model (separate multiple queries with `;`) and press ENTER...",
+                            show_label=False,
+                            elem_id="search-bar",
+                        )
+                    with gr.Column(min_width=320):
+                        filter_columns_type = gr.CheckboxGroup(
+                            label="Model types",
+                            choices=[t.to_str() for t in ModelType],
+                            value=[t.to_str() for t in ModelType],
+                            interactive=True,
+                            elem_id="filter-columns-type",
+                        )
+                        filter_columns_precision = gr.CheckboxGroup(
+                            label="Precision",
+                            choices=[i.value.name for i in Precision],
+                            value=[i.value.name for i in Precision],
+                            interactive=True,
+                            elem_id="filter-columns-precision",
+                        )
+                        filter_columns_size = gr.CheckboxGroup(
+                            label="Model sizes (in billions of parameters)",
+                            choices=list(NUMERIC_INTERVALS.keys()),
+                            value=list(NUMERIC_INTERVALS.keys()),
+                            interactive=True,
+                            elem_id="filter-columns-size",
+                        )
                     with gr.Row():
                         deleted_models_visibility = gr.Checkbox(
                             value=True, label="Show gated/private/deleted models", interactive=True

src/display/utils.py

@@ -71,7 +71,6 @@ class ModelType(Enum):
     PT = ModelDetails(name="pretrained", symbol="🟢")
     FT = ModelDetails(name="fine-tuned", symbol="🔶")
     IFT = ModelDetails(name="instruction-tuned", symbol="⭕")
-    RL = ModelDetails(name="RL-tuned", symbol="🟦")
     Unknown = ModelDetails(name="", symbol="?")
 
     def to_str(self, separator=" "):
@@ -83,8 +82,6 @@ class ModelType(Enum):
             return ModelType.FT
         if "pretrained" in type or "🟢" in type:
             return ModelType.PT
-        if "RL-tuned" in type or "🟦" in type:
-            return ModelType.RL
         if "instruction-tuned" in type or "⭕" in type:
             return ModelType.IFT
         return ModelType.Unknown