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README.md

@@ -1,12 +1 @@
----
-title: Echoscore
-emoji: 🏢
-colorFrom: purple
-colorTo: indigo
-sdk: streamlit
-sdk_version: 1.36.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# echoscore

app.py

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+import streamlit as st
+import pickle
+
+
+
+model = pickle.load(open("model.pkl", "rb"))
+
+teams=[
+    'Australia',
+    'India',
+    'Bangladesh',
+    'New Zealand',
+    'South Africa',
+    'England',
+    'Afghanistan',
+    'Pakistan',
+    'Sri Lanka',
+    'Netherlands']
+
+
+st.title('Cricket Score Predictor')
+col1, col2 = st.columns(2)
+
+with col1:
+    batting_team = st.selectbox('Select batting team', sorted(teams))
+with col2:
+    bowling_team = st.selectbox('Select bowling team', sorted(teams))
+
+
+
+col3,col4,col5 = st.columns(3)
+
+with col3:
+    current_score = st.number_input('Current Score')
+with col4:
+    overs = st.number_input('Overs done(works for over>5)')
+with col5:
+    wickets = st.number_input('Wickets out')
+
+last_five_runs = st.number_input('Runs scored in last 5 overs')
+
+if st.button('Predict Score'):
+    balls_left = 300 - (overs*6)
+    wickets_left = 10 -wickets
+    crr = current_score/overs
+    if batting_team == 'Australia':
+        batting_team = 1
+    if batting_team == 'India':
+        batting_team = 4
+    if batting_team == 'Bangladesh':
+        batting_team = 2
+    if batting_team == 'New Zealand':
+        batting_team = 6
+    if batting_team == 'South Africa':
+        batting_team = 8
+    if batting_team == 'England':
+        batting_team = 3
+    if batting_team == 'Afghanistan':
+        batting_team = 0
+    if batting_team == 'Pakistan':
+        batting_team = 7
+    if batting_team == 'Sri Lanka':
+        batting_team = 9
+    if batting_team == 'Netherlands':
+        batting_team = 5
+    if bowling_team == 'Australia':
+        bowling_team = 1
+    if bowling_team == 'India':
+        bowling_team = 4
+    if bowling_team == 'Bangladesh':
+        bowling_team = 2
+    if bowling_team == 'New Zealand':
+        bowling_team = 6
+    if bowling_team == 'South Africa':
+        bowling_team = 8
+    if bowling_team == 'England':
+        bowling_team = 3
+    if bowling_team == 'Afghanistan':
+        bowling_team = 0
+    if bowling_team == 'Pakistan':
+        bowling_team = 7
+    if bowling_team == 'Sri Lanka':
+        bowling_team = 9
+    if bowling_team == 'Netherlands':
+        bowling_team = 5
+
+
+    features = [[batting_team, bowling_team, overs, current_score, balls_left, wickets, crr,
+                 last_five_runs]]
+
+    # Make a prediction
+    prediction = model.predict(features)
+
+    # Display the prediction result
+    st.write(f"Predicted Total Score: {int(prediction[0])}")
+

dataset_level1.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d0adcf9bd7a464efc13066b92a7149664d35e9d0a73933655ebab311be1e9dde
+size 131022134

dataset_level2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e98232543b8b37b7c5d58ac39420b8db3977610d4cfa2d7068b3e3940e7141c
+size 18003255

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7977cc5047d1617764ca5dc7b1fb258b6f154599fab2d7e4a36b7f2ae513c905
+size 573722869

requirements.txt

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+streamlit==1.28.2
+scikit-learn==1.3.2
+pandas==2.1.3
+numpy==1.26.2
+pyyaml
+tqdm
+xgboost
+matplotlib