Update app.py
Browse files
app.py
CHANGED
@@ -42,7 +42,7 @@ try:
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sys.exit(1)
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musicgen_model = MusicGen.get_pretrained(local_model_path, device=device)
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musicgen_model.set_generation_params(
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duration=
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two_step_cfg=False # Disable two-step CFG for stability
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)
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except Exception as e:
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@@ -59,53 +59,67 @@ def print_resource_usage(stage: str):
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print("---------------")
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# 4) GENRE PROMPT FUNCTIONS
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def set_red_hot_chili_peppers_prompt():
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def set_nirvana_grunge_prompt():
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def set_pearl_jam_grunge_prompt():
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def set_soundgarden_grunge_prompt():
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def set_foo_fighters_prompt():
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styles = ["anthemic", "gritty", "melodic", "fast-paced", "driving"]
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tempos = ["upbeat", "mid-tempo", "high-energy"]
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moods = ["energetic", "introspective", "rebellious", "uplifting"]
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style = random.choice(styles)
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tempo = random.choice(tempos)
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mood = random.choice(moods)
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def set_smashing_pumpkins_prompt():
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def set_radiohead_prompt():
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def set_classic_rock_prompt():
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def set_alternative_rock_prompt():
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def set_post_punk_prompt():
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def set_indie_rock_prompt():
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def set_funk_rock_prompt():
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def set_detroit_techno_prompt():
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def set_deep_house_prompt():
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# 5) AUDIO PROCESSING FUNCTIONS
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def apply_chorus(segment):
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return segment
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# 6) GENERATION & I/O FUNCTIONS
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def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p: float, temperature: float, total_duration: int, crossfade_duration: int, num_variations: int, use_chunks: bool):
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global musicgen_model
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if not instrumental_prompt.strip():
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return None, "⚠️ Please enter a valid instrumental prompt!"
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@@ -142,6 +156,11 @@ def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p
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total_duration = min(max(total_duration, 10), 90)
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sample_rate = musicgen_model.sample_rate
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output_files = []
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for var in range(num_variations):
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print(f"Generating variation {var+1}/{num_variations}...")
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@@ -151,22 +170,21 @@ def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p
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if use_chunks:
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# Chunked generation
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num_chunks = max(1, total_duration // chunk_duration)
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chunk_duration = total_duration / num_chunks
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overlap_duration = min(1.0, crossfade_duration / 1000.0)
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generation_duration = chunk_duration + overlap_duration
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audio_chunks = []
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for i in range(num_chunks):
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chunk_prompt = instrumental_prompt
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print(f"Generating chunk {i+1}/{num_chunks} for variation {var+1} on GPU (prompt: {chunk_prompt})...")
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musicgen_model.set_generation_params(
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duration=generation_duration,
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use_sampling=True,
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top_k=top_k,
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top_p=top_p,
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temperature=
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cfg_coef=cfg_scale
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)
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@@ -211,6 +229,10 @@ def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p
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final_segment = final_segment.append(next_segment, crossfade=crossfade_duration)
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final_segment = final_segment[:total_duration * 1000]
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else:
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# Single-shot generation
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print(f"Generating full track for variation {var+1} on GPU (prompt: {instrumental_prompt})...")
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use_sampling=True,
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top_k=top_k,
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top_p=top_p,
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temperature=
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cfg_coef=cfg_scale
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)
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@@ -227,7 +249,7 @@ def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p
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with torch.no_grad():
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with autocast():
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audio_chunk = musicgen_model.generate([instrumental_prompt], progress=True)[0]
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audio_chunk = audio_chunk.cpu().to(dtype=torch.float32)
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if audio_chunk.dim() == 1:
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@@ -247,50 +269,60 @@ def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p
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torchaudio.save(temp_wav_path, audio_chunk, sample_rate, bits_per_sample=24)
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final_segment = AudioSegment.from_wav(temp_wav_path)
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os.remove(temp_wav_path)
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torch.cuda.empty_cache()
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gc.collect()
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time.sleep(0.5)
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print_resource_usage(f"After Full Track Generation (Variation {var+1})")
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print_resource_usage("After Final Generation")
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print(f"Total Generation Time: {time.time() - start_time:.2f} seconds")
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# Return the
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return
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except Exception as e:
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return None, f"❌ Generation failed: {e}"
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finally:
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torch.cuda.empty_cache()
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gc.collect()
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# Function to toggle
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def
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return
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def clear_inputs():
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return "", 3.0, 250, 0.9, 1.0, 30,
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# 7) CUSTOM CSS
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css = """
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info="Total duration of the track (10 to 90 seconds)."
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)
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crossfade_duration = gr.Slider(
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label="Crossfade Duration (ms)",
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minimum=100,
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maximum=2000,
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value=
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step=100,
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info="Crossfade duration between chunks (only used if chunking is enabled)."
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)
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num_variations = gr.Slider(
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label="Number of Variations",
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minimum=1,
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step=1,
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info="Number of different versions to generate with varying random seeds."
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)
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use_chunks = gr.Checkbox(
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label="Generate in Chunks",
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value=True,
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info="Enable to generate in
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)
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with gr.Row(elem_classes="action-buttons"):
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gen_btn = gr.Button("Generate Music")
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out_audio = gr.Audio(label="Generated Stereo Instrumental Track", type="filepath")
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status = gr.Textbox(label="Status", interactive=False)
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# Toggle
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use_chunks.change(
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gen_btn.click(
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generate_music,
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inputs=[instrumental_prompt, cfg_scale, top_k, top_p, temperature, total_duration, crossfade_duration, num_variations, use_chunks],
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outputs=[out_audio, status]
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)
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clr_btn.click(
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clear_inputs,
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inputs=None,
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outputs=[instrumental_prompt, cfg_scale, top_k, top_p, temperature, total_duration, crossfade_duration, num_variations, use_chunks]
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)
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# 9) TURN OFF OPENAPI/DOCS
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sys.exit(1)
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musicgen_model = MusicGen.get_pretrained(local_model_path, device=device)
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musicgen_model.set_generation_params(
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duration=25, # Default chunk duration
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two_step_cfg=False # Disable two-step CFG for stability
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)
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except Exception as e:
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print("---------------")
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# 4) GENRE PROMPT FUNCTIONS
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def set_red_hot_chili_peppers_prompt(bpm):
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rhythm = "strong rhythmic steps" if bpm > 120 else "groovy rhythmic flow"
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return f"Funk rock with groovy basslines, syncopated guitar riffs, energetic drums, and a Red Hot Chili Peppers-inspired vibe with dynamic vocal energy and funky breakdowns, {rhythm} at {bpm} BPM."
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def set_nirvana_grunge_prompt(bpm):
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rhythm = "intense rhythmic steps" if bpm > 120 else "grungy rhythmic pulse"
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return f"Grunge with raw distorted guitar riffs, heavy drums, melodic basslines, and a Nirvana-inspired angst-filled sound with quiet-loud dynamics, {rhythm} at {bpm} BPM."
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def set_pearl_jam_grunge_prompt(bpm):
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rhythm = "soulful rhythmic steps" if bpm > 120 else "driving rhythmic flow"
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return f"Grunge with soulful guitar leads, driving rhythms, deep bass, and a Pearl Jam-inspired emotional intensity with soaring choruses, {rhythm} at {bpm} BPM."
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def set_soundgarden_grunge_prompt(bpm):
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rhythm = "heavy rhythmic steps" if bpm > 120 else "sludgy rhythmic groove"
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return f"Grunge with heavy, sludgy guitar riffs, complex drum patterns, and a Soundgarden-inspired dark, psychedelic edge with powerful vocals, {rhythm} at {bpm} BPM."
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def set_foo_fighters_prompt(bpm):
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styles = ["anthemic", "gritty", "melodic", "fast-paced", "driving"]
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tempos = ["upbeat", "mid-tempo", "high-energy"]
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moods = ["energetic", "introspective", "rebellious", "uplifting"]
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style = random.choice(styles)
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tempo = random.choice(tempos)
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mood = random.choice(moods)
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rhythm = "powerful rhythmic steps" if bpm > 120 else "catchy rhythmic groove"
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return f"Alternative rock with {style} guitar riffs, {tempo} drums, melodic hooks, and a Foo Fighters-inspired {mood} vibe with powerful choruses, {rhythm} at {bpm} BPM."
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def set_smashing_pumpkins_prompt(bpm):
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rhythm = "dynamic rhythmic steps" if bpm > 120 else "dreamy rhythmic flow"
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return f"Alternative rock with dreamy guitar textures, heavy distortion, dynamic drums, and a Smashing Pumpkins-inspired blend of melancholy and aggression, {rhythm} at {bpm} BPM."
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def set_radiohead_prompt(bpm):
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rhythm = "complex rhythmic steps" if bpm > 120 else "intricate rhythmic pulse"
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return f"Experimental rock with atmospheric synths, intricate guitar layers, complex rhythms, and a Radiohead-inspired blend of introspective and innovative soundscapes, {rhythm} at {bpm} BPM."
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def set_classic_rock_prompt(bpm):
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rhythm = "bluesy rhythmic steps" if bpm > 120 else "steady rhythmic groove"
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return f"Classic rock with bluesy electric guitars, steady drums, groovy bass, and a Led Zeppelin-inspired raw energy with dynamic solos, {rhythm} at {bpm} BPM."
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def set_alternative_rock_prompt(bpm):
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rhythm = "quirky rhythmic steps" if bpm > 120 else "energetic rhythmic flow"
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return f"Alternative rock with distorted guitar riffs, punchy drums, melodic basslines, and a Pixies-inspired quirky, energetic vibe, {rhythm} at {bpm} BPM."
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def set_post_punk_prompt(bpm):
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rhythm = "sharp rhythmic steps" if bpm > 120 else "moody rhythmic pulse"
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return f"Post-punk with jangly guitars, driving basslines, sharp drums, and a Joy Division-inspired moody, atmospheric sound, {rhythm} at {bpm} BPM."
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def set_indie_rock_prompt(bpm):
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rhythm = "catchy rhythmic steps" if bpm > 120 else "jangly rhythmic flow"
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return f"Indie rock with jangly guitars, heartfelt vocals, steady drums, and an Arctic Monkeys-inspired blend of witty lyrics and catchy riffs, {rhythm} at {bpm} BPM."
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def set_funk_rock_prompt(bpm):
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rhythm = "aggressive rhythmic steps" if bpm > 120 else "funky rhythmic groove"
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return f"Funk rock with slap bass, funky guitar chords, upbeat drums, and a Rage Against the Machine-inspired mix of groove and aggression, {rhythm} at {bpm} BPM."
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def set_detroit_techno_prompt(bpm):
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rhythm = "pulsing rhythmic steps" if bpm > 120 else "deep rhythmic groove"
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return f"Detroit techno with deep pulsing synths, driving basslines, crisp hi-hats, and a Juan Atkins-inspired rhythmic groove, {rhythm} at {bpm} BPM."
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def set_deep_house_prompt(bpm):
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rhythm = "soulful rhythmic steps" if bpm > 120 else "laid-back rhythmic flow"
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return f"Deep house with warm analog synth chords, soulful vocal chops, deep basslines, and a Larry Heard-inspired laid-back groove, {rhythm} at {bpm} BPM."
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# 5) AUDIO PROCESSING FUNCTIONS
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def apply_chorus(segment):
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return segment
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# 6) GENERATION & I/O FUNCTIONS
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def generate_music(instrumental_prompt: str, cfg_scale: float, top_k: int, top_p: float, temperature: float, total_duration: int, crossfade_duration: int, variation_crossfade_duration: int, num_variations: int, chunk_count: int, use_chunks: bool, bpm: int):
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global musicgen_model
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if not instrumental_prompt.strip():
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return None, "⚠️ Please enter a valid instrumental prompt!"
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total_duration = min(max(total_duration, 10), 90)
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sample_rate = musicgen_model.sample_rate
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output_files = []
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variation_segments = []
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# Adjust temperature based on BPM for energy
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adjusted_temperature = temperature + (bpm - 120) / 600.0 # Scale temperature slightly
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adjusted_temperature = min(max(adjusted_temperature, 0.1), 2.0)
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for var in range(num_variations):
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print(f"Generating variation {var+1}/{num_variations}...")
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if use_chunks:
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# Chunked generation
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num_chunks = max(1, min(chunk_count, total_duration // 25)) # Cap at 25 seconds per chunk
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chunk_duration = total_duration / num_chunks
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overlap_duration = min(1.0, crossfade_duration / 1000.0)
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generation_duration = chunk_duration + overlap_duration
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audio_chunks = []
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for i in range(num_chunks):
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chunk_prompt = f"{instrumental_prompt}, at {bpm} BPM"
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print(f"Generating chunk {i+1}/{num_chunks} for variation {var+1} on GPU (prompt: {chunk_prompt})...")
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musicgen_model.set_generation_params(
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duration=generation_duration,
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use_sampling=True,
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top_k=top_k,
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top_p=top_p,
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temperature=adjusted_temperature,
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cfg_coef=cfg_scale
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)
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final_segment = final_segment.append(next_segment, crossfade=crossfade_duration)
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final_segment = final_segment[:total_duration * 1000]
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variation_segments.append(final_segment)
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for chunk_path in audio_chunks:
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os.remove(chunk_path)
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else:
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# Single-shot generation
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print(f"Generating full track for variation {var+1} on GPU (prompt: {instrumental_prompt})...")
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use_sampling=True,
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top_k=top_k,
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top_p=top_p,
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temperature=adjusted_temperature,
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cfg_coef=cfg_scale
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)
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with torch.no_grad():
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with autocast():
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audio_chunk = musicgen_model.generate([f"{instrumental_prompt}, at {bpm} BPM"], progress=True)[0]
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audio_chunk = audio_chunk.cpu().to(dtype=torch.float32)
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if audio_chunk.dim() == 1:
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torchaudio.save(temp_wav_path, audio_chunk, sample_rate, bits_per_sample=24)
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final_segment = AudioSegment.from_wav(temp_wav_path)
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os.remove(temp_wav_path)
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variation_segments.append(final_segment)
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torch.cuda.empty_cache()
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gc.collect()
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time.sleep(0.5)
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print_resource_usage(f"After Full Track Generation (Variation {var+1})")
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# Combine variations with crossfade
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print("Combining variations with crossfade...")
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combined_segment = variation_segments[0]
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for i in range(1, len(variation_segments)):
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next_segment = variation_segments[i]
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next_segment = next_segment + 1
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combined_segment = combined_segment.append(next_segment, crossfade=variation_crossfade_duration)
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+
# Post-process combined track
|
288 |
+
print("Post-processing final track...")
|
289 |
+
combined_segment = apply_eq(combined_segment)
|
290 |
+
combined_segment = apply_chorus(combined_segment)
|
291 |
+
combined_segment = apply_limiter(combined_segment, max_db=-6.0)
|
292 |
+
combined_segment = combined_segment.normalize(headroom=-9.0)
|
293 |
+
combined_segment = apply_final_gain(combined_segment, target_db=-18.0)
|
294 |
+
|
295 |
+
mp3_path = "output_cleaned.mp3"
|
296 |
+
combined_segment.export(
|
297 |
+
mp3_path,
|
298 |
+
format="mp3",
|
299 |
+
bitrate="320k",
|
300 |
+
tags={"title": "GhostAI Instrumental", "artist": "GhostAI"}
|
301 |
+
)
|
302 |
+
print(f"Saved final audio to {mp3_path}")
|
303 |
+
output_files.append(mp3_path)
|
304 |
|
305 |
print_resource_usage("After Final Generation")
|
306 |
print(f"Total Generation Time: {time.time() - start_time:.2f} seconds")
|
307 |
|
308 |
+
# Return the combined track for Gradio display
|
309 |
+
return mp3_path, f"✅ Done! Generated {num_variations} variations."
|
310 |
except Exception as e:
|
311 |
return None, f"❌ Generation failed: {e}"
|
312 |
finally:
|
313 |
torch.cuda.empty_cache()
|
314 |
gc.collect()
|
315 |
|
316 |
+
# Function to toggle interactivity of chunk-related sliders
|
317 |
+
def toggle_chunk_interactivity(use_chunks):
|
318 |
+
return (
|
319 |
+
gr.update(interactive=use_chunks), # crossfade_duration
|
320 |
+
gr.update(interactive=use_chunks), # variation_crossfade_duration
|
321 |
+
gr.update(interactive=use_chunks) # chunk_count
|
322 |
+
)
|
323 |
|
324 |
def clear_inputs():
|
325 |
+
return "", 3.0, 250, 0.9, 1.0, 30, 1000, 1000, 1, 2, True, 120
|
326 |
|
327 |
# 7) CUSTOM CSS
|
328 |
css = """
|
|
|
466 |
info="Total duration of the track (10 to 90 seconds)."
|
467 |
)
|
468 |
crossfade_duration = gr.Slider(
|
469 |
+
label="Chunk Crossfade Duration (ms)",
|
470 |
minimum=100,
|
471 |
maximum=2000,
|
472 |
+
value=1000,
|
473 |
step=100,
|
474 |
info="Crossfade duration between chunks (only used if chunking is enabled)."
|
475 |
)
|
476 |
+
variation_crossfade_duration = gr.Slider(
|
477 |
+
label="Variation Crossfade Duration (ms)",
|
478 |
+
minimum=100,
|
479 |
+
maximum=2000,
|
480 |
+
value=1000,
|
481 |
+
step=100,
|
482 |
+
info="Crossfade duration between variations (only used if chunking is enabled)."
|
483 |
+
)
|
484 |
num_variations = gr.Slider(
|
485 |
label="Number of Variations",
|
486 |
minimum=1,
|
|
|
489 |
step=1,
|
490 |
info="Number of different versions to generate with varying random seeds."
|
491 |
)
|
492 |
+
chunk_count = gr.Slider(
|
493 |
+
label="Chunk Count",
|
494 |
+
minimum=1,
|
495 |
+
maximum=8,
|
496 |
+
value=2,
|
497 |
+
step=1,
|
498 |
+
info="Number of chunks to split the track into (only used if chunking is enabled)."
|
499 |
+
)
|
500 |
use_chunks = gr.Checkbox(
|
501 |
label="Generate in Chunks",
|
502 |
value=True,
|
503 |
+
info="Enable to generate in chunks (safer for GPU memory). Disable for single-shot generation (higher VRAM usage)."
|
504 |
+
)
|
505 |
+
bpm = gr.Slider(
|
506 |
+
label="Tempo (BPM)",
|
507 |
+
minimum=60,
|
508 |
+
maximum=180,
|
509 |
+
value=120,
|
510 |
+
step=1,
|
511 |
+
info="Beats per minute to influence the track's tempo."
|
512 |
)
|
513 |
with gr.Row(elem_classes="action-buttons"):
|
514 |
gen_btn = gr.Button("Generate Music")
|
|
|
518 |
out_audio = gr.Audio(label="Generated Stereo Instrumental Track", type="filepath")
|
519 |
status = gr.Textbox(label="Status", interactive=False)
|
520 |
|
521 |
+
# Toggle chunk-related sliders' interactivity
|
522 |
+
use_chunks.change(
|
523 |
+
fn=toggle_chunk_interactivity,
|
524 |
+
inputs=use_chunks,
|
525 |
+
outputs=[crossfade_duration, variation_crossfade_duration, chunk_count]
|
526 |
+
)
|
527 |
+
|
528 |
+
# Bind genre buttons with BPM
|
529 |
+
rhcp_btn.click(set_red_hot_chili_peppers_prompt, inputs=bpm, outputs=instrumental_prompt)
|
530 |
+
nirvana_btn.click(set_nirvana_grunge_prompt, inputs=bpm, outputs=instrumental_prompt)
|
531 |
+
pearl_jam_btn.click(set_pearl_jam_grunge_prompt, inputs=bpm, outputs=instrumental_prompt)
|
532 |
+
soundgarden_btn.click(set_soundgarden_grunge_prompt, inputs=bpm, outputs=instrumental_prompt)
|
533 |
+
foo_fighters_btn.click(set_foo_fighters_prompt, inputs=bpm, outputs=instrumental_prompt)
|
534 |
+
smashing_pumpkins_btn.click(set_smashing_pumpkins_prompt, inputs=bpm, outputs=instrumental_prompt)
|
535 |
+
radiohead_btn.click(set_radiohead_prompt, inputs=bpm, outputs=instrumental_prompt)
|
536 |
+
classic_rock_btn.click(set_classic_rock_prompt, inputs=bpm, outputs=instrumental_prompt)
|
537 |
+
alternative_rock_btn.click(set_alternative_rock_prompt, inputs=bpm, outputs=instrumental_prompt)
|
538 |
+
post_punk_btn.click(set_post_punk_prompt, inputs=bpm, outputs=instrumental_prompt)
|
539 |
+
indie_rock_btn.click(set_indie_rock_prompt, inputs=bpm, outputs=instrumental_prompt)
|
540 |
+
funk_rock_btn.click(set_funk_rock_prompt, inputs=bpm, outputs=instrumental_prompt)
|
541 |
+
detroit_techno_btn.click(set_detroit_techno_prompt, inputs=bpm, outputs=instrumental_prompt)
|
542 |
+
deep_house_btn.click(set_deep_house_prompt, inputs=bpm, outputs=instrumental_prompt)
|
543 |
gen_btn.click(
|
544 |
generate_music,
|
545 |
+
inputs=[instrumental_prompt, cfg_scale, top_k, top_p, temperature, total_duration, crossfade_duration, variation_crossfade_duration, num_variations, chunk_count, use_chunks, bpm],
|
546 |
outputs=[out_audio, status]
|
547 |
)
|
548 |
clr_btn.click(
|
549 |
clear_inputs,
|
550 |
inputs=None,
|
551 |
+
outputs=[instrumental_prompt, cfg_scale, top_k, top_p, temperature, total_duration, crossfade_duration, variation_crossfade_duration, num_variations, chunk_count, use_chunks, bpm]
|
552 |
)
|
553 |
|
554 |
# 9) TURN OFF OPENAPI/DOCS
|