Upload 3 files

app.py

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+import gradio as gr
+import joblib
+import pandas as pd
+
+# Load the model and encoders
+model = joblib.load('random_forest_model.joblib')
+venue_mapping = {
+    "MCG": 0,
+    "Eden Gardens": 1,
+    "Lords": 2
+}
+
+match_type_mapping = {
+    "ODI": 0,
+    "T20": 1,
+    "Test": 2
+}
+
+team_mapping = {
+    "India": 0,
+    "Australia": 1,
+    "England": 2,
+    "Pakistan": 3
+}
+
+def predict_score(venue, match_type, team_batting, team_bowling):
+ 
+        # Use the mappings to convert categorical values to numbers
+        venue_encoded = venue_mapping[venue]
+        match_type_encoded = match_type_mapping[match_type]
+        team_batting_encoded = team_mapping[team_batting]
+        team_bowling_encoded = team_mapping[team_bowling]
+
+        # Prepare the input data for prediction
+        new_match = pd.DataFrame({
+            'Venue': [venue_encoded],
+            'Match_Type': [match_type_encoded],
+            'Team_Batting': [team_batting_encoded],
+            'Team_Bowling': [team_bowling_encoded]
+        })
+
+        # Make prediction
+        predicted_score = model.predict(new_match)
+        return round(predicted_score[0])
+
+   
+# Create Gradio interface
+interface = gr.Interface(
+    fn=predict_score, 
+    inputs=[
+        gr.Dropdown(['MCG', 'Eden Gardens', 'Wankhede'], label='Venue'),
+        gr.Dropdown(['ODI', 'T20'], label='Match Type'),
+        gr.Dropdown(['India', 'Australia', 'England'], label='Team Batting'),
+        gr.Dropdown(['Australia', 'India', 'England'], label='Team Bowling')
+    ], 
+    outputs=gr.Textbox(label="Predicted Score"),
+    title="Cricket Match Score Predictor",
+    description="Enter match details to predict the final score."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()

random_forest_model (2).joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:88251fed428a09f471a79da8191caf9595d752b087a11e084f7ce8715570a498
+size 3121681

requirements.txt

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+gradio
+pandas
+scikit-learn
+joblib
+numpy