| import gradio as gr | |
| import joblib | |
| import sklearn | |
| our_trained_model =joblib.load("our_model.sav") | |
| def greet(preg, plas, pres, skin, test, mass, pedi, age): | |
| result = our_trained_model.predict([[int(preg), int(plas), int(pres), int(skin), int(test), int(mass), int(pedi), int(age)]]) | |
| var = int(result[0]) | |
| if var == 0: | |
| result = "Negative" | |
| else: | |
| result = "Positive" | |
| return "Is the Patient Diabetic: " + str(result) | |
| demo = gr.Interface( | |
| fn=greet, | |
| inputs=["text", "text","text", "text","text", "text","text", "text"], | |
| outputs=["text"], | |
| ) | |
| demo.launch() | |