Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+#['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
+import joblib
+loaded_model = joblib.load('trained_model.pkl')
+
+def predict(preg, plas, pres, skin, test, mass, pedi, age):
+
+    result = loaded_model.predict([[float(preg), float(plas), float(pres), float(skin), int(test), float(mass), float(pedi), float(age)]])
+    if int(result[0]) == 1:
+      return "The person is diabetic"
+    else:
+      return "The person is not diabetic"
+    #return str(result)
+
+demo = gr.Interface(
+    fn = predict,
+    inputs = ["text", "text","text", "text","text", "text","text", "text"],
+    outputs=["text"],
+)
+
+demo.launch()