Update how to use

app_training.py

@@ -87,7 +87,8 @@ def create_training_demo(trainer: Trainer,
                     - It takes a few minutes to download the base model first.
                     - It will take about 8 minutes to train for 1000 steps with a T4 GPU.
                     - You may want to try a small number of steps first, like 1, to see if everything works fine in your environment.
-                    - You need to set the environment variable `WANDB_API_KEY` if you'd like to use W&B. See [W&B documentation](https://docs.wandb.ai/guides/track/advanced/environment-variables).
+                    - You can check the training status by pressing the "Open logs" button if you are running this on your Space.
+                    - You need to set the environment variable `WANDB_API_KEY` if you'd like to use [W&B](https://wandb.ai/site). See [W&B documentation](https://docs.wandb.ai/guides/track/advanced/environment-variables).
                     - **Note:** Due to [this issue](https://github.com/huggingface/accelerate/issues/944), currently, training will not terminate properly if you use W&B.
                     ''')