Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import AutoProcessor, BarkModel
+import scipy
+from IPython.display import Audio
+
+# Load the processor and model
+processor = AutoProcessor.from_pretrained("suno/bark")
+model = BarkModel.from_pretrained("suno/bark")
+
+def generate_audio(text):
+    # Your preset may vary
+    voice_preset = "v2/en_speaker_6"
+    inputs = processor(text, voice_preset=voice_preset)
+    audio_array = model.generate(**inputs)
+    audio_array = audio_array.cpu().numpy().squeeze()
+    sample_rate = model.generation_config.sample_rate
+    
+    # Write the output to a .wav file
+    scipy.io.wavfile.write("bark_out.wav", rate=sample_rate, data=audio_array)
+    return "bark_out.wav"
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_audio,
+    inputs=gr.inputs.Textbox(label="标入prompt(input)"),
+    outputs=gr.outputs.Audio(label="生成音频(button)", type="file"),
+    allow_flagging="never"
+)
+
+# Launch the interface
+iface.launch()