Update app.py

app.py

@@ -9,11 +9,11 @@ classes=['daisy','dandelion','roses','sunflowers','tulips']
 def classifier(image): 
   pred_img = modelo.predict(tf.expand_dims(image,axis=0))
   pred_img = tf.squeeze(tf.round(pred_img))
-  texto = str(f'Predicted label: {classes[(np.argmax(pred_img))]}')
+  texto = str(f'Predicted label: {classes[(np.argmax(pred_img))]}!!!')
   return texto
 
 interface = gr.Interface(classifier,gr.inputs.Image(shape=(180,180)),outputs = "text",
-                          description="classifier of images of daisy plants, dandelion, roses, sunflowers, and tulips",
-                          title="Flower image classifier")
+                          description="Classifier of images of daisy plants, dandelion, roses, sunflowers, and tulips",
+                          title="Flower Image Classifier")
 interface.launch()