Update app.py

app.py

@@ -32,13 +32,14 @@ DESCRIPTION = """
 Check that you have successfully completed the hands-on exercise for Unit 7 of the 🤗 Audio Transformers Course by submitting your demo to this Space.
 
 As a reminder, you should start with the template Space provided at [`course-demos/speech-to-speech-translation`](https://huggingface.co/spaces/course-demos/speech-to-speech-translation),
-and update the Space to translate from any language X to a **non-English** language Y. Your demo should take as input an audio file, and return as output another audio file, matching the signature of the 
-[`speech_to_speech_translation`](https://huggingface.co/spaces/course-demos/speech-to-speech-translation/blob/3946ba6705a6632a63de8672ac52a482ab74b3fc/app.py#L35)
+and update the Space to translate from any language X to a **non-English** language Y. Your demo should take as input an audio file, and return as output another audio file, 
+matching the signature of the [`speech_to_speech_translation`](https://huggingface.co/spaces/course-demos/speech-to-speech-translation/blob/3946ba6705a6632a63de8672ac52a482ab74b3fc/app.py#L35)
 function in the template demo.
 
-To submit your demo for assessment, give the repo id or URL to your demo. For the template demo, this would be `course-demos/speech-to-speech-translation`. This Space will submit a test file to your demo, and check that the output is non-English audio. If your demo successfully
-returns an audio file, and this audio file is classified as being non-English, you will pass the demo and get a green 
-tick next to your name! ✅
+To submit your demo for assessment, give the repo id or URL to your demo. For the template demo, this would be `course-demos/speech-to-speech-translation`.
+You should ensure that the visibility of your demo is set to **public**. This Space will submit a test file to your demo, and check that the output is 
+non-English audio. If your demo successfully returns an audio file, and this audio file is classified as being non-English, you will pass the Unit and 
+get a green tick next to your name on the overall [course progress space](https://huggingface.co/spaces/MariaK/Check-my-progress-Audio-Course) ✅
 
 If you experience any issues with using this checker, [open an issue](https://huggingface.co/spaces/huggingface-course/audio-course-u7-assessment/discussions/new)
 on this Space and tag [`@sanchit-gandhi`](https://huggingface.co/sanchit-gandhi).
@@ -69,7 +70,7 @@ def verify_demo(repo_id):
         audio_file = client.predict("test_short.wav", api_name="/predict")
     except Exception as e:
         raise gr.Error(
-            f"Error with querying Space, ensure your Space takes an audio file as input and returns an audio as output: {e}"
+            f"Error with querying Space, check that your Space takes an audio file as input and returns an audio as output: {e}"
         )
 
     audio, sampling_rate = sf.read(audio_file)