Create app.py

app.py

@@ -0,0 +1,66 @@
+import gradio as gr
+import pickle
+
+filename = 'GBR-insurance-prediction.sav'
+loaded_model = pickle.load(open(filename, 'rb'))
+
+
+def age_group_selector(age_grp):
+  if age_grp == '18-24': return [1,0,0,0,0,0,0,0]
+  elif age_grp =='25-30':return [0,1,0,0,0,0,0,0]
+  elif age_grp =='31-36':return [0,0,1,0,0,0,0,0]
+  elif age_grp =='37-42':return [0,0,0,1,0,0,0,0] 
+  elif age_grp =='43-48':return [0,0,0,0,1,0,0,0]
+  elif age_grp =='49-54':return [0,0,0,0,0,1,0,0]
+  elif age_grp =='54-60':return [0,0,0,0,0,0,1,0]
+  elif age_grp =='61-64':return [0,0,0,0,0,0,0,1]
+  elif age_grp =='64+:': return [0,0,0,0,0,0,0,1]
+  
+def bmi_selector(bmi):
+  if bmi == '0-18.4 (Underweight)':return [1,0,0,0,0]
+  elif bmi == '18.5-24.9 (Healthy Weight)':return [0,1,0,0,0]
+  elif bmi == '25.0-29.9 (Overweight)':return [0,0,1,0,0]
+  elif bmi == '30-39.0 (Obese)': return [0,0,0,1,0]
+  elif bmi == '40+ (Severely Obese)': return [0,0,0,0,1]
+
+
+
+def predict_insurance(sex,smoker,children,age_grp,bmi):
+    
+    to_predict = []
+    
+    if sex == 'male':
+      to_predict.append(1)
+    else:
+      to_predict.append(0)
+
+    if smoker == 'yes':
+      to_predict.append(1)
+    else:
+      to_predict.append(0)
+
+    to_predict.append(children)
+
+    to_predict = to_predict + age_group_selector(age_grp)
+    
+    to_predict = to_predict + bmi_selector(bmi)
+    
+    return (loaded_model.predict([to_predict])[0])
+    # return to_predict
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        input_sex = gr.Radio(["male", "female"],label="Sex")
+        input_smoker = gr.Radio(["yes", "no"],label="Smoker")
+    with gr.Row():    
+        input_children = gr.Slider(0, 5,label='Children',step=1)
+    with gr.Row():
+        input_age_group = gr.Dropdown(['18-24','25-30','31-36','37-42','43-48','49-54','54-60','61-64','64+'],label='Age Group')
+    with gr.Row():
+        input_bmi = gr.Dropdown(['0-18.4 (Underweight)','18.5-24.9 (Healthy Weight)','25.0-29.9 (Overweight)','30-39.0 (Obese)','40+ (Severely Obese)'],label='BMI Range')
+    with gr.Row():
+        insurance = gr.Textbox(label='Estimated Insurance')
+    btn_ins = gr.Button(value="Submit")
+    btn_ins.click(fn=predict_insurance, inputs=[input_sex,input_smoker,input_children,input_age_group,input_bmi], outputs=[insurance])
+
+demo.launch()