Added a comment with a link to Exposit CV BU.

app.py

@@ -24,6 +24,8 @@ st.title('Call Transcription demo')
 st.subheader('This simple demo shows the possibilities of the ASR and NLP in the task of '
              'automatic speech recognition and diarization. It works with mp3, ogg and wav files. You can randomly '
              'pickup an audio file with the dialogue from the built-in database or try uploading your own files.')
+st.write('Note: this demo shows up a reduced-performance model. To get a full-performance neural network or develop a '
+         'system adapted to your task – contact kirill.lozovoi@exposit.com.')
 if st.button('Try a random sample from the database'):
     os.makedirs(FOLDER_WAV_DB, exist_ok=True)
     shuffled_dataset = dataset.shuffle(seed=random.randint(0, 100))