Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+from datetime import date, timedelta
+import random
+
+# Functions for schedule generation and date assignment are as defined earlier
+
+def create_schedule(num_teams, num_conferences, num_inter_games):
+    """Create the entire schedule based on user inputs."""
+    full_schedule = []
+    
+    # Generate schedule for each conference
+    for i in range(num_conferences):
+        conference_name = chr(65 + i)  # 'A', 'B', 'C', 'D', ...
+        combined_schedule = combine_schedules(conference_name, num_teams, num_inter_games)
+        schedule_with_dates = assign_dates_to_matches_v2(combined_schedule)
+        
+        for match in schedule_with_dates:
+            full_schedule.append({
+                "Team 1": match[0],
+                "Team 2": match[1],
+                "Date": match[2]
+            })
+    
+    return pd.DataFrame(full_schedule)
+
+# Streamlit App
+
+st.title("Basketball Game Schedule Generator")
+
+# Configuration UI
+st.header("Configuration")
+
+num_teams = st.number_input("Number of teams per conference:", min_value=2, value=10)
+num_conferences = st.number_input("Number of conferences:", min_value=2, value=4)
+num_inter_games = st.number_input("Number of inter-conference games per team:", min_value=1, value=3)
+
+commissioners = st.multiselect("Add commissioners:", options=[], default=[])
+
+add_commissioner = st.text_input("New commissioner name:")
+if add_commissioner:
+    commissioners.append(add_commissioner)
+
+# Schedule Generation
+if st.button("Generate Schedule"):
+    global schedule_df
+    schedule_df = create_schedule(num_teams, num_conferences, num_inter_games)
+
+# Schedule Viewing
+st.header("View Schedule")
+conference_selector = st.selectbox("Select conference to view schedule:", options=["All"] + [f"Conference {chr(65+i)}" for i in range(num_conferences)])
+if conference_selector == "All":
+    st.dataframe(schedule_df)
+else:
+    filtered_schedule = schedule_df[(schedule_df["Team 1"].str.startswith(conference_selector)) | (schedule_df["Team 2"].str.startswith(conference_selector))]
+    st.dataframe(filtered_schedule)
+
+# Export functionality can be added later