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Browse files- app.py +67 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from transformers import pipeline
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import scipy.io.wavfile
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import numpy as np
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# 1. LOAD MODEL MUSICGEN
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# Kita menggunakan versi 'small' agar cepat & ringan di Free Tier Hugging Face
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print("Sedang memuat model MusicGen...")
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synthesiser = pipeline("text-to-audio", model="facebook/musicgen-small")
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def generate_music(text, duration):
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if not text:
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return None
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print(f"🎵 Membuat musik: '{text}' selama {duration} detik...")
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# Generate audio
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# forward_params max_new_tokens mengatur durasi (kurang lebih 1 token ≈ 0.02 detik)
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# 256 token ≈ 5 detik, 512 ≈ 10 detik
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# Kita buat dinamis berdasarkan input user
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max_tokens = int(duration * 50)
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music = synthesiser(text, forward_params={"max_new_tokens": max_tokens})
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# Konversi output ke format yang bisa diputar Gradio
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audio_data = music["audio"]
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sampling_rate = music["sampling_rate"]
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# Normalisasi audio agar suaranya jelas
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audio_data = audio_data / np.max(np.abs(audio_data))
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return (sampling_rate, audio_data.T)
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# 2. ANTARMUKA GRADIO
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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<h1 style='text-align: center;'>🎵 SonicGen: AI Music Creator</h1>
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<p style='text-align: center;'>Jadilah komposer musik instan! Ketik deskripsi musik yang Anda inginkan, dan AI akan menciptakannya untuk Anda.</p>
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""")
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with gr.Row():
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with gr.Column():
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inp_text = gr.Textbox(
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label="🎹 Deskripsi Musik (Prompt)",
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placeholder="Contoh: 80s pop track with synth drums and nostalgic melody",
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lines=2
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)
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inp_duration = gr.Slider(minimum=5, maximum=15, value=10, step=1, label="⏱️ Durasi (Detik)")
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btn = gr.Button("✨ Ciptakan Musik", variant="primary")
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with gr.Column():
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out_audio = gr.Audio(label="🎧 Hasil Generasi AI", type="numpy")
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# Contoh prompt agar user bisa langsung mencoba
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gr.Examples(
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examples=[
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["A dynamic soundtrack for an epic space battle", 10],
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["Lo-fi hip hop beat perfect for studying and relaxing", 10],
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["Acoustic guitar melody with birds chirping in background", 10]
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],
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inputs=[inp_text, inp_duration]
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)
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btn.click(fn=generate_music, inputs=[inp_text, inp_duration], outputs=out_audio)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,4 @@
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transformers
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torch
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scipy
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numpy
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