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app.py

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+import pandas as pd
+import gradio as gr
+import joblib
+
+le=joblib.load('le_col.pkl')
+std=joblib.load('std_column.pkl')
+model=joblib.load('model.pkl')
+
+le_col=['Gender','Geography','CardType']
+std_column=['Tenure','SatisfactionScore','CreditScore','Age','PointEarned','EstimatedSalary']
+
+def prediction_Bank_model(creditScore,geography,gender,age,tenure,hasCrCard,estimatedSalary,complain,satisfactionScore,cardType,pointEarned):
+    try:
+        input_data=pd.DataFrame({
+        'CreditScore':[creditScore],
+        'Geography':[geography],
+        'Gender':[gender],
+        'Age':[age],
+        'Tenure':[tenure],
+        'HasCrCard':[hasCrCard],
+        'EstimatedSalary':[estimatedSalary],
+        'Complain':[complain],
+        'SatisfactionScore':[satisfactionScore],
+        'CardType':[cardType],
+        'PointEarned':[pointEarned]
+    })
+        for col in le_col:
+            input_data[col]=le[col].transform(input_data[col])
+        input_data[std_column]=std.transform(input_data[std_column])
+        predictiction=model.predict(input_data)
+        if predictiction[0]==0:
+            return 'No'
+        else:
+            return 'yes'
+    except Exception as e:
+        return f"Error :{e}"
+
+gr.Interface(
+    fn=prediction_Bank_model,
+    inputs=[
+        gr.Number(label='CreditScore'),
+        gr.Dropdown(choices=('France','Germany','Spain'),label='Geography'),
+        gr.Dropdown(choices=('Male','Female'),label='Gender'),
+        gr.Number(label='Age'),
+        gr.Number(label='Tenure'),
+        gr.Number(label='HasCrCard'),
+        gr.Number(label='EstimatedSalary'),
+        gr.Number(label='Complain'),
+        gr.Number(label='SatisfactionScore'),
+        gr.Dropdown(choices=('DIAMOND','GOLD','SILVER','PLATINUM'),label='CardType'),
+        gr.Number(label='PointEarned')
+        
+    ],
+    outputs=gr.Textbox(label='Prediction'),
+    title='Prediction Program'
+).launch()

le_col.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:02079d20352f5bbd7ddf8933f115d9f391afddf3a47a6506f2e52ec0be4b9f2f
+size 1178

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a91c3cdce5a775c1c37d0234e66b4b4256e656d951cdb4274e38cff68e9ffeb0
+size 1439

requirements.txt

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+gradio
+pandas
+joblib
+scikit-learn

std_column.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ca469341fbbdecc0b121932ea6dbbe27cd06b9b34f4681fef735f88c1dda098
+size 1159