import joblib
import pandas
from sklearn import model_selection
import gradio as gr

def greet(one,two, three, four, five, six, seven, eight):
      # load the model from disk
    loaded_model = joblib.load('finalized_model.sav')
    result = loaded_model.predict([[float(one),float(two), float(three), float(four), float(five), float(six), float(seven), float(eight)]])
    return str(result)

demo = gr.Interface(
    fn=greet,
    inputs=[
        gr.Textbox(label="one"),
        gr.Textbox(label="two"),
        gr.Textbox(label="three"),
        gr.Textbox(label="four"),
        gr.Textbox(label="five"),
        gr.Textbox(label="six"),
        gr.Textbox(label="seven"),
        gr.Textbox(label="eight"),
        
    ],
    outputs="text",
)

demo.launch(debug=True, auth=("atom", "password"))