zobaczymy

app.py

@@ -44,23 +44,28 @@ df = fetch_runs_to_df(api, projects, selected_project)
 # Streamlit UI
 st.title("W&B Data in Streamlit")
 
+# Sidebar filter options
 st.sidebar.header("Filter Options")
-run_name_filter = st.sidebar.text_input("Filter by Run Name")
+run_name_filter = st.sidebar.text_input("Filter by Run Name", "")
 state_filter = st.sidebar.selectbox("Filter by State", ["All"] + df["State"].unique().tolist())
+tag_filter = st.sidebar.text_input("Filter by Tags (comma separated)", "")
 
 # Apply filters
 if run_name_filter:
     df = df[df["Run Name"].str.contains(run_name_filter, case=False, na=False)]
 if state_filter != "All":
     df = df[df["State"] == state_filter]
+if tag_filter:
+    tag_list = [tag.strip() for tag in tag_filter.split(",")]
+    df = df[df["Tags"].apply(lambda tags: any(tag in tags for tag in tag_list))]
 
-# Show the filtered DataFrame
+# Display the filtered DataFrame
 st.dataframe(df)
 
 # Display details of selected run
-selected_run_id = st.selectbox("Select a Run ID to see details", df["ID"].tolist())
+selected_run_id = st.selectbox("Select a Run ID to see details", df["ID"].tolist() if not df.empty else [])
 if selected_run_id:
-    selected_run = api.run(f"{entity}/{project}/{selected_run_id}")
+    selected_run = api.run(f"{projects[selected_project]['entity']}/{projects[selected_project]['project']}/{selected_run_id}")
     run_df = selected_run.history()
     st.write(f"Details for run: {selected_run.name}")
-    st.dataframe(run_df)
+    st.dataframe(run_df)