Update src/streamlit_app.py

src/streamlit_app.py

@@ -211,24 +211,24 @@ def create_bar_chart(df, view_type):
     
     return fig
 
-# Serve only the chart as JSON if parameter "only_chart" is set
-# E.g. https://huggingface.co/spaces/leggedrobotics/navitrace_leaderboard/?only_chart=total_score
-params = st.query_params
-if "only_chart" in params and params["only_chart"] in ["total_score", "per_embodiment", "per_category"]:
-    if params["only_chart"] == "total_score":
-        view_type = "Total Score"
-    elif params["only_chart"] == "per_embodiment":
-        view_type = "Per Embodiment"
-    elif params["only_chart"] == "per_category":
-        view_type = "Per Category"
+# TODO remove # Serve only the chart as JSON if parameter "only_chart" is set
+# # E.g. https://huggingface.co/spaces/leggedrobotics/navitrace_leaderboard/?only_chart=total_score
+# params = st.query_params
+# if "only_chart" in params and params["only_chart"] in ["total_score", "per_embodiment", "per_category"]:
+#     if params["only_chart"] == "total_score":
+#         view_type = "Total Score"
+#     elif params["only_chart"] == "per_embodiment":
+#         view_type = "Per Embodiment"
+#     elif params["only_chart"] == "per_category":
+#         view_type = "Per Category"
 
-    # Create chart
-    df = load_sample_data()
-    fig = create_bar_chart(df, view_type)
+#     # Create chart
+#     df = load_sample_data()
+#     fig = create_bar_chart(df, view_type)
 
-    # Only output JSON
-    st.write(fig.to_json())
-    st.stop()
+#     # Only output JSON
+#     st.write(fig.to_json())
+#     st.stop()
 
 # Main content
 st.title("NaviTrace Leaderboard")
@@ -286,17 +286,6 @@ st.plotly_chart(fig, use_container_width=True, config={
 with st.expander("View Detailed Scores"):
     st.dataframe(df.style.background_gradient(cmap='Purples', subset=df.columns[1:]), use_container_width=True)
 
-# Export chart HTML for embedding
-with st.expander("Embed Chart in Your Website"):
-    html_str = fig.to_html(include_plotlyjs='cdn')
-    st.code(html_str, language='html')
-    st.download_button(
-        label="Download HTML",
-        data=html_str,
-        file_name="navitrace_chart.html",
-        mime="text/html"
-    )
-
 with st.expander("How to Test Your Model", expanded=True):
     # Step 1
     st.markdown("""