Allow preloading leaderboard results

src/app.py

@@ -37,6 +37,9 @@ if "audio_preview_active" not in st.session_state:
 
 if "uploaded_file" not in st.session_state:
     st.session_state.results_file = None
+if "consumed_query_lb_file" not in st.session_state:
+    st.session_state.consumed_query_lb_file = None
+
 
 if "selected_entry_idx" not in st.session_state:
     st.session_state.selected_entry_idx = 0
@@ -81,6 +84,13 @@ def on_file_upload():
     st.session_state.results_file = None
 
 
+def on_local_file_upload():
+    if "lb_result_file" in st.query_params:
+        st.query_params.pop("lb_result_file")
+    st.session_state.consumed_query_lb_file = None
+    on_file_upload()
+
+
 @st.cache_data
 def get_leaderboard_result_csv_paths(root_search_path):
     fs = HfFileSystem(token=HF_API_TOKEN)
@@ -118,6 +128,8 @@ def choose_input_file_from_leaderboard():
 
         on_file_upload()
         st.session_state.results_file = uploaded_file
+        st.query_params["lb_result_file"] = selected_file
+        st.session_state.consumed_query_lb_file = selected_file
         st.rerun()
 
 
@@ -294,6 +306,22 @@ def main():
         page_title="ASR Evaluation Visualizer", page_icon="🎤", layout="wide"
     )
 
+    # Check for URL parameter for preloading leaderboard results
+    lb_result_file_param = st.query_params.get("lb_result_file")
+    if (
+        lb_result_file_param
+        and st.session_state.consumed_query_lb_file != lb_result_file_param
+    ):
+        st.session_state.consumed_query_lb_file = lb_result_file_param
+        leaderboard_file_url = huggingface_hub.hf_hub_url(
+            repo_id="ivrit-ai/hebrew-transcription-leaderboard",
+            subfolder=f"results{Path(lb_result_file_param).parent}",
+            filename=Path(lb_result_file_param).name,
+            repo_type="space",
+        )
+        on_file_upload()
+        st.session_state.results_file = leaderboard_file_url
+
     if not has_api_token:
         st.warning("No Hugging Face API token found. Audio previews will not work.")
 
@@ -303,10 +331,15 @@ def main():
     uploaded_file = st.file_uploader(
         "Upload evaluation results CSV",
         type=["csv"],
-        on_change=on_file_upload,
+        on_change=on_local_file_upload,
         key="uploaded_file",
     )
 
+    if st.session_state.consumed_query_lb_file is not None:
+        st.subheader(
+            f"Loaded: {st.session_state.consumed_query_lb_file or uploaded_file}"
+        )
+
     if uploaded_file is not None:
         st.session_state.results_file = uploaded_file