Update app.py

app.py

@@ -1,8 +1,12 @@
 import gradio as gr
 from gradio_client import Client
 
+splt_client = Client("https://fffiloni-splittrack2musicgen.hf.space/")
+whisper_client = Client("https://sanchit-gandhi-whisper-jax.hf.space/")
+
 def infer(audio_input):
-    splt_client = Client("https://fffiloni-splittrack2musicgen.hf.space/")
+
+    # STEP 1 | Split vocals from the song/audio file
     splt_result = splt_client.predict(
     				audio_input,	# str (filepath or URL to file) in 'Input' Audio component
     				"vocals",	# str  in 'Track' Radio component
@@ -10,9 +14,7 @@ def infer(audio_input):
     )
     print(splt_result)
 
-
-
-    whisper_client = Client("https://sanchit-gandhi-whisper-jax.hf.space/")
+    # STEP 2 | Transcribe
     whisper_result = whisper_client.predict(
     				split_result,	# str (filepath or URL to file) in 'inputs' Audio component
     				"transcribe",	# str  in 'Task' Radio component
@@ -23,6 +25,10 @@ def infer(audio_input):
 
     return "Done"
 
+css = """
+#col-container {max-width: 510px; margin-left: auto; margin-right: auto;}
+"""
+
 with gr.Blocks(css=css) as demo:
     with gr.Column(col-container):
         song_in = gr.Audio(label="Song input", type="filepath", source="upload")