Update app.py

app.py

@@ -16,8 +16,10 @@ model.fit(x_train, y_train)
 
 accuracy = model.score(x_test, y_test)
 
-def greet(num1, num2,num3,num4):
-    return  model.predict([[num1,num2,num3,num4]])
+def greet(sepal_length,sepal_weidth,petal_length,petal_weidth):
+    return  model.predict([[sepal_length,sepal_weidth,petal_length,petal_weidth]])
 
-iface = gr.Interface(fn=greet, title="name editor", inputs=["number","number","number","number"], outputs="textbox")
+iface = gr.Interface(fn=greet, description="you have to give the 4 values sepal_length, sepal_weidth, petal_length and petal_weidth amd the project will predict the specie", 
+                     title="iris flower species classifier", 
+                     inputs=["number","number","number","number"], outputs="textbox")
 iface.launch()