Update app to use fixed league keeper output

src/streamlit_app.py

@@ -1,36 +1,25 @@
 import streamlit as st
 import pandas as pd
-import numpy as np
 
-st.title("Uber pickups in NYC")
 
-DATE_COLUMN = "date/time"
-DATA_URL = "https://s3-us-west-2.amazonaws.com/" "streamlit-demo-data/uber-raw-data-sep14.csv.gz"
+LEAGUE_NAME = "LOFG"
+DATA_URL = "../tests/mocks/2023_keepers.csv"
+
+
+st.title(f"{LEAGUE_NAME} Keeper Options")
 
 
 @st.cache_data
-def load_data(nrows):
-    data = pd.read_csv(DATA_URL, nrows=nrows)
+def load_data():
+    data = pd.read_csv(DATA_URL, index_col=0)
     data.columns = data.columns.str.lower()
-    data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
     return data
 
 
 data_load_state = st.text("Loading data...")
-data = load_data(10000)
-data_load_state.text("Done! (using st.cache_data)")
-
-if st.checkbox("Show raw data"):
-    st.subheader("Raw data")
-    st.write(data)
-
-st.subheader("Number of pickups by hour")
-hist_values = np.histogram(data[DATE_COLUMN].dt.hour, bins=24, range=(0, 24))[0]
-st.bar_chart(hist_values)
+data = load_data()
+data_load_state.text("Data loaded")
 
-# Some number in the range 0-23
-hour_to_filter = st.slider("hour", 0, 23, 17)
-filtered_data = data[data[DATE_COLUMN].dt.hour == hour_to_filter]
 
-st.subheader("Map of all pickups at %s:00" % hour_to_filter)
-st.map(filtered_data)
+st.subheader("Raw data")
+st.write(data)