app.py

import os

import gradio as gr

from gradio_components.prediction import predict

theme = gr.themes.Glass(
	primary_hue="fuchsia",
	secondary_hue="indigo",
	neutral_hue="slate",
	font=[gr.themes.GoogleFont('Source Sans Pro'), 'ui-sans-serif', 'system-ui',
	      'sans-serif'],
	).set(
	body_background_fill_dark='*background_fill_primary',
	embed_radius='*table_radius',
	background_fill_primary='*neutral_50',
	background_fill_primary_dark='*neutral_950',
	background_fill_secondary_dark='*neutral_900',
	border_color_accent='*neutral_600',
	border_color_accent_subdued='*color_accent',
	border_color_primary_dark='*neutral_700',
	block_background_fill='*background_fill_primary',
	block_background_fill_dark='*neutral_800',
	block_border_width='1px',
	block_label_background_fill='*background_fill_primary',
	block_label_background_fill_dark='*background_fill_secondary',
	block_label_text_color='*neutral_500',
	block_label_text_size='*text_sm',
	block_label_text_weight='400',
	block_shadow='none',
	block_shadow_dark='none',
	block_title_text_color='*neutral_500',
	block_title_text_weight='400',
	panel_border_width='0',
	panel_border_width_dark='0',
	checkbox_background_color_dark='*neutral_800',
	checkbox_border_width='*input_border_width',
	checkbox_label_border_width='*input_border_width',
	input_background_fill='*neutral_100',
	input_background_fill_dark='*neutral_700',
	input_border_color_focus_dark='*neutral_700',
	input_border_width='0px',
	input_border_width_dark='0px',
	slider_color='#2563eb',
	slider_color_dark='#2563eb',
	table_even_background_fill_dark='*neutral_950',
	table_odd_background_fill_dark='*neutral_900',
	button_border_width='*input_border_width',
	button_shadow_active='none',
	button_primary_background_fill='*primary_200',
	button_primary_background_fill_dark='*primary_700',
	button_primary_background_fill_hover='*button_primary_background_fill',
	button_primary_background_fill_hover_dark='*button_primary_background_fill',
	button_secondary_background_fill='*neutral_200',
	button_secondary_background_fill_dark='*neutral_600',
	button_secondary_background_fill_hover='*button_secondary_background_fill',
	button_secondary_background_fill_hover_dark='*button_secondary_background_fill',
	button_cancel_background_fill='*button_secondary_background_fill',
	button_cancel_background_fill_dark='*button_secondary_background_fill',
	button_cancel_background_fill_hover='*button_cancel_background_fill',
	button_cancel_background_fill_hover_dark='*button_cancel_background_fill'
	)

_AUDIOCRAFT_MODELS = ["facebook/musicgen-melody",
                      "facebook/musicgen-medium",
                      "facebook/musicgen-small",
                      "facebook/musicgen-large",
                      "facebook/musicgen-melody-large"]


def generate_prompt(difficulty, style):
	_DIFFICULTY_MAPPIN = {
		"Easy": "beginner player",
		"Medum": "player who has 2-3 years experience",
		"Hard": "player who has more than 4 years experiences"
		}
	prompt = 'piano only music for a {} to pratice with the touch of {}'.format(
		_DIFFICULTY_MAPPIN[difficulty], style
		)
	return prompt


def UI():
	with gr.Blocks() as demo:
		with gr.Tab("Generate Music by melody"):
			with gr.Row():
				with gr.Column():
					with gr.Row():
						model_path = gr.Dropdown(
							choices=_AUDIOCRAFT_MODELS,
							label="Select the model",
							value="facebook/musicgen-melody-large"
							)
					with gr.Row():
						duration = gr.Slider(
							minimum=10,
							maximum=60,
							value=10,
							label="Duration",
							interactive=True
							)
					with gr.Row():
						topk = gr.Number(label="Top-k", value=250, interactive=True)
						topp = gr.Number(label="Top-p", value=0, interactive=True)
						temperature = gr.Number(
							label="Temperature", value=1.0, interactive=True
							)
						sample_rate = gr.Number(
							label="output music sample rate", value=32000,
							interactive=True
							)
						difficulty = gr.Radio(
							["Easy", "Medium", "Hard"], label="Difficulty",
							value="Easy", interactive=True
							)
						style = gr.Radio(
							["Jazz", "Classical Music", "Hip Hop", "Others"],
							value="Classical Music", label="music genre",
							interactive=True
							)
						if style == "Others":
							style = gr.Textbox(label="Type your music genre")
						prompt = generate_prompt(difficulty.value, style.value)
						customize = gr.Checkbox(
							label="Customize the prompt", interactive=True
							)
						if customize:
							prompt = gr.Textbox(label="Type your prompt")
				with gr.Column():
					with gr.Row():
						melody = gr.Audio(
							sources=["microphone", "upload"],
							label="Record or upload your audio",
							#interactive=True,
							show_label=True,
							)
					with gr.Row():
						submit = gr.Button("Generate Music")
						output = gr.Audio("listen to the generated music", type="filepath")

			submit.click(
				fn=predict,
				inputs=[model_path, prompt, melody, duration, topk, topp, temperature,
				        sample_rate],
				outputs=output
				)

		gr.Examples(
			examples=[
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/twinkle_twinkle_little_stars_mozart_20sec.mp3"
						),
					"Easy",
					32000,
					20
					],
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/golden_hour_20sec.mp3"
						),
					"Easy",
					32000,
					20
					],
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/turkish_march_mozart_20sec.mp3"
						),
					"Easy",
					32000,
					20
					],
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/golden_hour_20sec.mp3"
						),
					"Hard",
					32000,
					20
					],
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/golden_hour_20sec.mp3"
						),
					"Hard",
					32000,
					40
					],
				[
					os.path.join(
						os.path.dirname(__file__),
						"./data/audio/golden_hour_20sec.mp3"
						),
					"Hard",
					16000,
					20
					],
				],
			inputs=[melody, difficulty, sample_rate, duration],
			label="Audio Examples",
			outputs=[output],
			# cache_examples=True,
			)
	demo.queue().launch()


if __name__ == "__main__":
	UI()