Update app.py

app.py

@@ -7,7 +7,7 @@ modelo =tf.keras.models.load_model('model_0.h5')
 classes=['daisy','dandelion','roses','sunflowers','tulips']
 
 def classifier(image): 
-  pred_img = model.predict(tf.expand_dims(image,axis=0))
+  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))]}')
   return texto