specified version in requirements.txt, added all selections to url, fixed demo message in aggrid

app.py

@@ -130,8 +130,21 @@ dataframe = get_data_wrapper()
 
 st.markdown("# 🤗 Leaderboards")
 
+query_params = st.experimental_get_query_params()
+if "first_query_params" not in st.session_state:
+    st.session_state.first_query_params = query_params
+first_query_params = st.session_state.first_query_params
+
+default_task = first_query_params.get("task", [None])[0]
+default_only_verified = bool(int(first_query_params.get("only_verified", [0])[0]))
+print(default_only_verified)
+default_dataset = first_query_params.get("dataset", [None])[0]
+default_split = first_query_params.get("split", [None])[0]
+default_config = first_query_params.get("config", [None])[0]
+
 only_verified_results = st.sidebar.checkbox(
     "Filter for Verified Results",
+    value=default_only_verified,
     help="Select this checkbox if you want to see only results produced by the Hugging Face model evaluator, and no self-reported results."
 )
 
@@ -139,10 +152,12 @@ selectable_tasks = list(set(dataframe.pipeline_tag))
 if None in selectable_tasks:
     selectable_tasks.remove(None)
 selectable_tasks.sort(key=lambda name: name.lower())
+selectable_tasks = ["-any-"] + selectable_tasks
 
 task = st.sidebar.selectbox(
     "Task",
-    ["-any-"] + selectable_tasks,
+    selectable_tasks,
+    index=(selectable_tasks).index(default_task) if default_task in selectable_tasks else 0,
     help="Filter the selectable datasets by task. Leave as \"-any-\" to see all selectable datasets."
 )
 
@@ -153,16 +168,6 @@ selectable_datasets = ["-any-"] + sorted(list(set(dataframe.dataset.tolist())),
 if "" in selectable_datasets:
     selectable_datasets.remove("")
 
-query_params = st.experimental_get_query_params()
-if "first_query_params" not in st.session_state:
-    st.session_state.first_query_params = query_params
-first_query_params = st.session_state.first_query_params
-
-default_dataset = None
-if "dataset" in first_query_params:
-    if len(first_query_params["dataset"]) > 0 and first_query_params["dataset"][0] in selectable_datasets:
-        default_dataset = first_query_params["dataset"][0]
-
 dataset = st.sidebar.selectbox(
     "Dataset",
     selectable_datasets,
@@ -172,7 +177,7 @@ dataset = st.sidebar.selectbox(
 
 dataframe = dataframe[dataframe.only_verified == only_verified_results]
 
-st.experimental_set_query_params(**{"dataset": [dataset]})
+st.experimental_set_query_params(**{"dataset": [dataset], "only_verified": [int(only_verified_results)], "task": [task]})
 
 if dataset != "-any-":
     dataset_df = dataframe[dataframe.dataset == dataset]
@@ -189,6 +194,7 @@ if len(dataset_df) > 0:
         config = st.sidebar.selectbox(
             "Config",
             selectable_configs,
+            index=selectable_configs.index(default_config) if default_config in selectable_configs else 0,
             help="Filter the results on the current leaderboard by the dataset config. Self-reported results might not report the config, which is why \"-unspecified-\" is an option."
         )
         dataset_df = dataset_df[dataset_df.config == config]
@@ -197,8 +203,12 @@ if len(dataset_df) > 0:
         split = st.sidebar.selectbox(
             "Split",
             selectable_splits,
+            index=selectable_splits.index(default_split) if default_split in selectable_splits else 0,
             help="Filter the results on the current leaderboard by the dataset split. Self-reported results might not report the split, which is why \"-unspecified-\" is an option."
         )
+
+        st.experimental_set_query_params(**{"dataset": [dataset], "only_verified": [int(only_verified_results)], "task": [task], "config": [config], "split": [split]})
+
         dataset_df = dataset_df[dataset_df.split == split]
 
     not_selectable_metrics = ["model_id", "dataset", "split", "config", "pipeline_tag", "only_verified"]
@@ -277,7 +287,7 @@ if len(dataset_df) > 0:
 
     go = gb.build()
     fit_columns = len(dataset_df.columns) < 10
-    AgGrid(dataset_df, gridOptions=go, height=28*len(dataset_df) + (35 if fit_columns else 41), allow_unsafe_jscode=True, fit_columns_on_grid_load=fit_columns)
+    AgGrid(dataset_df, gridOptions=go, height=28*len(dataset_df) + (35 if fit_columns else 41), allow_unsafe_jscode=True, fit_columns_on_grid_load=fit_columns, enable_enterprise_modules=False)
 
 else:
     st.markdown(

requirements.txt

@@ -1,6 +1,5 @@
-pandas
-tqdm
-streamlit
-huggingface_hub
-numpy
-streamlit-aggrid
+pandas==1.5.1
+streamlit==1.14.0
+huggingface_hub==0.10.1
+numpy==1.23.4
+streamlit-aggrid==0.3.3