Upload app.py

app.py

@@ -13,6 +13,7 @@ from pathlib import Path
 import subprocess
 
 # Run the training script
+#print('*** Running train.py ***')
 #subprocess.run(["python", "train.py"])
 #print('done!')
 
@@ -59,12 +60,12 @@ model_output = gr.Label(label="charges")
 def predict_insurance_charges(age, bmi, children, sex, smoker, region):
     
     sample = {
-        'Age': age,
-        'BMI': bmi,
-        'Children': children,
-        'Sex': sex,
-        'Smoker': smoker,
-        'Region': region
+        'age': age,
+        'bmi': bmi,
+        'children': children,
+        'sex': sex,
+        'smoker': smoker,
+        'region': region
     }
 
     data_point = pd.DataFrame([sample])
@@ -106,5 +107,5 @@ gr_interface = gr.Interface(
 gr_interface.queue()
 gr_interface.launch(share=False)
 
-print('*** Running train.py ***')
+