Upload app.py

app.py

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+from ast import dump
+from cProfile import label
+from logging import PlaceHolder
+from operator import mod
+import pandas as pd
+import numpy as np
+import gradio as gr
+from joblib import load,dump
+
+def purchase(
+    UserID,Gender,Age,EstimatedSalary
+):
+
+    model=load("purchased.jb")
+
+    data={
+        "UserID":[UserID],
+        "Gender":[Gender],
+        "Age":[Age],
+        "EstimatedSalary":[EstimatedSalary]
+    }
+
+    xin=pd.DataFrame(data)
+    purchased=model.predict(xin)
+    return purchased[0]
+
+ui=gr.Interface(
+    fn=purchase,
+    inputs=[
+        gr.inputs.Textbox(placeholder="user_id",numeric=True,label="USER ID"),
+        gr.Radio(["Male","Female"],label="GENDER"),
+        gr.inputs.Textbox(placeholder="age",numeric=True,label="AGE"),
+        gr.inputs.Textbox(placeholder="estimated_salary",numeric=True,label="ESTIMATED SALARY"),
+    ],
+
+    title="PURCHASED OR NOT ?",
+    outputs="text",
+    examples=[[15624510,"Male",19,19000,0],
+    [15694829,"Female",32,150000,1
+]]
+
+)
+
+if __name__=="__main__":
+    ui.launch()