import pickle
import gradio as gr

with open("Condition_Model","rb") as f:
  mp=pickle.load(f)
def Conditional_Prediction(Gender,Height,Weight):
  Gen=0
  if(Gender=="Male"):
    Gen=1
  elif(Gender=="Female"):
    Gen=0

  Height=float(Height)
  Weight=float(Weight)
  
  result=mp.predict([[Gen,Height,Weight]])
  print(result[0])
  if result[0]==0:
    final_result="You have Extremely Weak Body Condition"
  elif result[0]==1:
    final_result="You have Weak Body Condition"
  elif result[0]==2:
    final_result="You have Normal Body Condition"
  elif result[0]==3:
    final_result="You have Estimated Overweight"
  elif result[0]==4:
    final_result="You have Estimated Obesity"
  elif result[0]==5:
    final_result="You seem to have Extreme Obesity"
  return final_result

interface=gr.Interface(fn=Conditional_Prediction,inputs=[gr.inputs.Radio(["Male","Female"],type="value",label="Gender"),gr.inputs.Textbox(lines=2,placeholder="Enter Your Height"),gr.inputs.Textbox(lines=2,placeholder="Enter Your Weight")],
                       outputs=[gr.outputs.Textbox(label="Your Estimated Condition")],
                       enable_queu=True)
interface.launch(debug=True)