Update app.py

app.py

@@ -0,0 +1,100 @@
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+from pathlib import Path
+
+# Set page configuration
+st.set_page_config(page_title="BowLChaL", layout="wide")
+
+# Load datasets
+@st.cache
+def load_data():
+    data_path = Path(__file__).parent / "data"
+    batting_df = pd.read_csv(data_path / "batting_stats.csv")
+    bowling_df = pd.read_csv(data_path / "bowling_stats.csv")
+    return batting_df, bowling_df
+
+batting_df, bowling_df = load_data()
+
+# Title with animation
+st.markdown(
+    """
+    <h1 style='text-align: center; font-size: 60px; color: #4CAF50;'>
+        BowLChaL
+    </h1>
+    <style>
+    @keyframes fadeIn {
+        0% {opacity: 0;}
+        100% {opacity: 1;}
+    }
+    h1 {
+        animation: fadeIn 3s;
+    }
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.markdown("## Select a Team to View Player Statistics")
+
+# Extract unique teams
+teams = batting_df['Team'].unique()
+
+# Display teams in a grid layout with animations
+cols = st.columns(5)
+for index, team in enumerate(teams):
+    with cols[index % 5]:
+        if st.button(team):
+            selected_team = team
+
+# If a team is selected, show player dropdown
+if 'selected_team' in locals():
+    st.markdown(f"### Players in {selected_team}")
+    team_players = batting_df[batting_df['Team'] == selected_team]['Player'].unique()
+    selected_player = st.selectbox("Select a Player", team_players)
+
+    # Display player stats and visualizations
+    if selected_player:
+        st.markdown(f"## {selected_player}'s Statistics")
+
+        # Filter data for the selected player
+        player_batting_stats = batting_df[batting_df['Player'] == selected_player]
+        player_bowling_stats = bowling_df[bowling_df['Player'] == selected_player]
+
+        # Option to select stats type
+        stats_type = st.radio(
+            "Choose Stats to Display",
+            ('All Stats', 'Batting Stats', 'Bowling Stats')
+        )
+
+        # Display Batting Stats
+        if stats_type in ['All Stats', 'Batting Stats']:
+            st.markdown("### Batting Statistics")
+            st.dataframe(player_batting_stats)
+
+            # Example Plotly visualization for batting
+            fig = px.bar(
+                player_batting_stats,
+                x='Matches',
+                y='Runs',
+                title=f'Runs per Match for {selected_player}',
+                labels={'Runs': 'Runs Scored', 'Matches': 'Match Number'},
+                color_discrete_sequence=['#1f77b4']
+            )
+            st.plotly_chart(fig)
+
+        # Display Bowling Stats
+        if stats_type in ['All Stats', 'Bowling Stats']:
+            st.markdown("### Bowling Statistics")
+            st.dataframe(player_bowling_stats)
+
+            # Example Plotly visualization for bowling
+            fig = px.line(
+                player_bowling_stats,
+                x='Matches',
+                y='Wickets',
+                title=f'Wickets per Match for {selected_player}',
+                labels={'Wickets': 'Wickets Taken', 'Matches': 'Match Number'},
+                color_discrete_sequence=['#ff7f0e']
+            )
+            st.plotly_chart(fig)