Upload Score%20Prediction.py

pages/Score%20Prediction.py

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+import streamlit as st
+import joblib
+import numpy as np
+
+# Load the trained model
+model = joblib.load('score_prediction_model.pkl')
+
+# App title
+st.title("🏏 Team Score Prediction App")
+st.markdown("Predict a cricket team's score using batting and bowling stats + team name.")
+
+# Team selection
+teams = ['India', 'Australia', 'England', 'Pakistan', 'Afghanistan', 'Sri Lanka',
+         'South Africa', 'New Zealand', 'Bangladesh', 'West Indies']
+
+team_name = st.selectbox("Select Team", teams)
+
+# Input fields (main page)
+st.subheader("📥 Enter Team Performance Stats")
+
+batting_innings = st.slider("Total Batting Innings", 0, 500, 100)
+total_fours = st.slider("Total Fours", 0, 1000, 250)
+total_sixes = st.slider("Total Sixes", 0, 800, 150)
+batting_strike_rate = st.slider("Average Batting Strike Rate", 50.0, 200.0, 95.0)
+bowling_wickets = st.slider("Total Bowling Wickets", 0, 500, 100)
+bowling_economy = st.slider("Average Bowling Economy", 3.0, 10.0, 5.5)
+
+# Encode team if your model used encoded values (optional - only if model trained that way)
+# from sklearn.preprocessing import LabelEncoder
+# team_encoder = LabelEncoder()
+# team_encoded = team_encoder.transform([team_name])[0]
+
+# Combine features
+input_features = np.array([[batting_innings, total_fours, total_sixes,
+                            batting_strike_rate, bowling_wickets, bowling_economy]])
+
+# Predict button
+if st.button("🔮 Predict Team Score"):
+    predicted_score = model.predict(input_features)[0]
+    st.success(f"🏏 Predicted Score for **{team_name}**: **{int(predicted_score)} Runs**")
+
+    # Display input summary
+    st.subheader("📊 Team Stats You Entered")
+    st.write({
+        "Team": team_name,
+        "Batting Innings": batting_innings,
+        "Fours": total_fours,
+        "Sixes": total_sixes,
+        "Strike Rate": batting_strike_rate,
+        "Bowling Wickets": bowling_wickets,
+        "Bowling Economy": bowling_economy
+    })
+
+# Footer
+st.markdown("---")
+st.markdown("Made with ❤️ using your streamlit")