app.py

import torch
import spaces
import gradio as gr

from transformers import MusicgenForConditionalGeneration
music_gen_model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
sampling_rate = music_gen_model.config.audio_encoder.sampling_rate



from transformers import AutoProcessor
processor = AutoProcessor.from_pretrained("facebook/musicgen-small")

from diffusers import DiffusionPipeline

sd_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
# sd_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")


@spaces.GPU
def generate_music(desc):
    device = "cuda" if torch.cuda.is_available() else "cpu"
    music_gen_model.to(device)

    inputs = processor(text=[desc], padding=True, return_tensors="pt")
    audio_values = music_gen_model.generate(**inputs.to(device), do_sample=True, guidance_scale=3, max_new_tokens=256)
    return sampling_rate, audio_values[0][0].cpu().numpy()
    
@spaces.GPU
def generate_pic(desc):
    device = "cuda" #if torch.cuda.is_available() else "cpu"
    sd_pipe.to(device)
    return sd_pipe(prompt=desc).images[0]

@spaces.GPU
def test_gpu():
    device = "cuda" if torch.cuda.is_available() else "cpu"
    return device

with gr.Blocks() as app:
    with gr.Row():
        music_desc = gr.TextArea(label="Music Description")
        music_pic = gr.Image(label="Music Image(StableDiffusion)")
        music_player = gr.Audio(label="Play My Tune")

    device_name = gr.Text(label='device name', interactive=False)
    gen_pic_btn = gr.Button("Gen Picture")
    gen_music_btn = gr.Button("Get Some Tune!!")
    has_gpu_btn = gr.Button("test gpu")

    gen_pic_btn.click(fn=generate_pic, inputs=[music_desc], outputs=[music_pic])
    gen_music_btn.click(fn=generate_music, inputs=[music_desc], outputs=[music_player])
    has_gpu_btn.click(fn=test_gpu, outputs=[device_name])
    
if __name__ == '__main__':
    app.launch()