import gradio as gr | |
import joblib | |
model=joblib.load('model.joblib') | |
input=gr.Numbers('Input') | |
output=gr.Textbox('Output') | |
def predict(fi): | |
pred=model.predict(fi) | |
return pred | |
gr.Tnterface(fn=predict,inputs=input,outputs=output).lunch() | |
import gradio as gr | |
import joblib | |
model=joblib.load('model.joblib') | |
input=gr.Numbers('Input') | |
output=gr.Textbox('Output') | |
def predict(fi): | |
pred=model.predict(fi) | |
return pred | |
gr.Tnterface(fn=predict,inputs=input,outputs=output).lunch() | |