updating audio gen starter code in app.py

app.py

@@ -3,19 +3,18 @@ import torchaudio
 from audiocraft.models import AudioGen
 from audiocraft.data.audio import audio_write
 
-model = AudioGen.get_pretrained('facebook/audiogen-medium')
-model.set_generation_params(duration=5)  # generate 8 seconds.
-wav = model.generate_unconditional(4)    # generates 4 unconditional audio samples
-descriptions = ['dog barking', 'sirenes of an emergency vehicule', 'footsteps in a corridor']
-wav = model.generate(descriptions)  # generates 3 samples.
 
-for idx, one_wav in enumerate(wav):
-    # Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
-    audio_write(f'{idx}', one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
-
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=audioGen, inputs="text", outputs="text")
 iface.launch()
 
-def greet(name):
-    return "Hello " + name + "!!"
+def audioGen(audioPrompt):
+    model = AudioGen.get_pretrained('facebook/audiogen-medium')
+    model.set_generation_params(duration=5)  # generate 8 seconds.
+    wav = model.generate_unconditional(4)    # generates 4 unconditional audio samples
+    descriptions = ['dog barking', 'sirenes of an emergency vehicule', 'footsteps in a corridor']
+    wav = model.generate(descriptions)  # generates 3 samples.
+
+    for idx, one_wav in enumerate(wav):
+        # Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
+        audio_write(f'{idx}', one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
+    return "Hello " + audioPrompt + "!!"