Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+import torchaudio
+from audiocraft.models import AudioGen
+from audiocraft.data.audio import audio_write
+
+model = AudioGen.get_pretrained('facebook/audiogen-medium')
+
+def infer(prompt):
+    
+    model.set_generation_params(duration=5)  # generate 5 seconds.
+    descriptions = [prompt]
+    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 "0.wav"
+
+gr.Interface(
+    fn = infer,
+    inputs = gr.Textbox(),
+    outputs = gr.Audio()
+).launch()