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| import gradio as gr | |
| import librosa | |
| import numpy as np | |
| from pydub import AudioSegment | |
| # Núcleo de Inteligencia TITAN | |
| ghost_titan = { | |
| "key": "--", "bpm": 0, "crest": 0, "phase": "Mono Compatible", | |
| "harmonics": [], "spectral_density": {}, "analyzed": False | |
| } | |
| def engine_v28_titan(t, r, p, active_fix, active_master): | |
| global ghost_titan | |
| if t is None: | |
| return None, "ESTADO: OFFLINE", "NO SIGNAL", "--", "0", None | |
| try: | |
| # 1. ESCANEO DE ADN SÓNICO (120 seg) | |
| y, sr = librosa.load(t, duration=120) | |
| # Detección de BPM con Voto de Confianza | |
| onset_env = librosa.onset.onset_strength(y=y, sr=sr) | |
| tempo = librosa.feature.tempo(onset_envelope=onset_env, sr=sr) | |
| bpm = int(np.atleast_1d(tempo)[0]) | |
| if bpm < 115: bpm *= 2 # Optimizador DnB/Techno | |
| # Detección de KEY por Cromatografía FFT | |
| chroma = librosa.feature.chroma_stft(y=y, sr=sr, n_fft=4096) | |
| notes = ["C","C#","D","D#","E","F","F#","G","G#","A","A#","B"] | |
| k = notes[np.argmax(np.mean(chroma, axis=1))] | |
| f_fund = librosa.note_to_hz(k+'1') | |
| # Análisis de Fase y Crest Factor (Punch) | |
| rms = librosa.feature.rms(y=y) | |
| crest = 20 * np.log10(np.max(np.abs(y)) / (np.mean(rms) + 1e-6)) | |
| S = np.abs(librosa.stft(y)) | |
| f = librosa.fft_frequencies(sr=sr) | |
| ghost_titan.update({ | |
| "key": k, "bpm": bpm, "crest": crest, | |
| "harmonics": [round(f_fund * i, 1) for i in range(1, 6)], | |
| "spectral_density": { | |
| "sub": np.mean(S[f < 60]), | |
| "punch": np.mean(S[(f >= 100) & (f < 250)]), | |
| "mud": np.mean(S[(f >= 250) & (f < 500)]), | |
| "harsh": np.mean(S[(f >= 3000) & (f < 5000)]), | |
| "air": np.mean(S[f > 12000]) | |
| }, | |
| "analyzed": True | |
| }) | |
| audio = AudioSegment.from_file(t) | |
| log = f"--- GHOST TITAN V28 SYSTEM LOG ---\n\n" | |
| if active_fix: | |
| audio = audio.high_pass_filter(34) | |
| if ghost_titan["spectral_density"]["mud"] > ghost_titan["spectral_density"]["punch"] * 1.3: | |
| audio = audio.low_pass_filter(4500) | |
| log += "[!] AUTO-FIX: Resonancia de 'lodo' detectada. Filtro adaptativo aplicado.\n" | |
| if active_master: | |
| # Cadena de Mastering: Glue -> Soft Clipping -> Maximization | |
| audio = audio.compressor_dynamic_range(threshold=-14.0, ratio=4.2, attack=12.0, release=140.0) | |
| audio = audio.apply_gain((p / 10) - 2.8) | |
| log += "[+] MASTER: Cadena Titan activada (Target: -9 LUFS).\n" | |
| audio.export("ghost_titan_v28.wav", format="wav") | |
| log += f"\n▶ DIAGNÓSTICO: Key {k} | BPM {bpm} | Crest {round(crest,1)}dB\n" | |
| log += f"▶ RECOMENDACIÓN: En {k}, limpia la banda de {ghost_titan['harmonics'][2]}Hz para dar espacio a la voz." | |
| return "ghost_titan_v28.wav", log, "Análisis de Fase y Armónicos completado.", k, str(bpm), "https://images.unsplash.com/photo-1514474959185-1472d4c4e0d4?q=80&w=500" | |
| except Exception as e: | |
| return None, f"FATAL ERROR: {str(e)}", "ERROR", "!", "0", None | |
| def titan_mentor_ai(pregunta): | |
| if not ghost_titan["analyzed"]: return "Inicia el escaneo primero, Ghost." | |
| msg = pregunta.lower() | |
| k, b, sd = ghost_titan["key"], ghost_titan["bpm"], ghost_titan["spectral_density"] | |
| h = ghost_titan["harmonics"] | |
| # RESPUESTAS DE INGENIERÍA DE ALTA PRECISIÓN | |
| if "bajo" in msg or "sub" in msg: | |
| return f"Para tu nota {k}, el sub real está en {h[0]}Hz. He detectado que tu zona de punch ({h[1]}Hz) está " + ("débil" if sd["punch"] < sd["sub"] else "fuerte") + f". Sugerencia: Usa un EQ dinámico en {h[0]}Hz encadenado al Kick." | |
| if "pegada" in msg or "punch" in msg: | |
| ms_release = round(60000 / b / 2, 1) | |
| return f"A {b} BPM, el compresor debe respirar. Pon el Attack en 30ms y el Release en {ms_release}ms. Esto evitará que el limitador destruya el transiente de tus drums." | |
| if "lodo" in msg or "limpiar" in msg: | |
| return f"El conflicto está en {h[3]}Hz. Es el 4º armónico de {k}. Baja -3dB ahí con un Q de 1.4 en tus leads y sintes. Notarás una claridad instantánea." | |
| if "brillo" in msg or "aire" in msg: | |
| if sd["air"] < 0.005: | |
| return "Tu mezcla es demasiado oscura. Añade un High Shelf en 10kHz con +2dB, pero usa un saturador de cinta (Tape) para que no suene digital." | |
| return "El aire está bien equilibrado. No toques los agudos o fatigarás el oído." | |
| return f"Status {k} @ {b} BPM: Tienes un Crest Factor de {round(ghost_titan['crest'], 1)}dB. Tienes margen para subir +3dB de ganancia en el master antes de que pierdas el punch." | |
| # --- INTERFAZ "TITAN CONSOLE" --- | |
| css = """ | |
| body, .gradio-container {background: #020202 !important; color: #00e5ff !important; font-family: 'JetBrains Mono', monospace;} | |
| .gr-box {border: 2px solid #00e5ff !important; background: #080808 !important; box-shadow: 0 0 15px #00e5ff33;} | |
| .gr-button-primary {background: linear-gradient(180deg, #00e5ff, #007cff) !important; color: #000 !important; font-weight: bold; border: none;} | |
| .gr-button-primary:hover {box-shadow: 0 0 25px #00e5ff; transform: scale(1.02);} | |
| .gr-label {color: #ff0055 !important; font-size: 0.9em;} | |
| .gr-textbox textarea {background: #000 !important; color: #00ff88 !important; border: 1px solid #00e5ff22 !important;} | |
| """ | |
| with gr.Blocks(theme=gr.themes.Monochrome(), css=css) as demo: | |
| gr.HTML("<h1 style='text-align:center; letter-spacing:15px; color:#00e5ff; text-shadow: 0 0 10px #00e5ff;'>GHOST TITAN v28</h1>") | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| with gr.Row(): | |
| out_k = gr.Label(label="KEY (DETECCIÓN FFT)") | |
| out_b = gr.Label(label="BPM (ANALYSIS)") | |
| in_audio = gr.Audio(label="SOURCE AUDIO", type="filepath") | |
| in_ref = gr.Audio(label="MASTER REFERENCE", type="filepath") | |
| with gr.Row(): | |
| fix_btn = gr.Checkbox(label="ADAPTIVE MIX REPAIR", value=False) | |
| mst_btn = gr.Checkbox(label="TITAN MASTERING", value=False) | |
| in_pwr = gr.Slider(0, 100, label="MASTER PRESSURE (LUFS TARGET)", value=85) | |
| exec_btn = gr.Button("ENGAGE SYSTEM", variant="primary") | |
| with gr.Column(scale=2): | |
| out_audio = gr.Audio(label="MONITOR OUTPUT (32-BIT)") | |
| out_diag = gr.Textbox(label="SISTEMA DE DIAGNÓSTICO PROFUNDO", lines=10) | |
| with gr.Group(): | |
| gr.Markdown("### 🎙️ TITAN MENTOR (IA de Ingeniería Avanzada)") | |
| user_msg = gr.Textbox(placeholder="Pregunta por la pegada, el lodo, los armónicos o la fase...", label="Consulta técnica") | |
| chat_btn = gr.Button("CONSULTAR INGENIERO TITAN") | |
| chat_out = gr.Textbox(label="SOLUCIÓN TÉCNICA CALCULADA", lines=6) | |
| exec_btn.click(engine_v28_titan, [in_audio, in_ref, in_pwr, fix_btn, mst_btn], [out_audio, out_diag, out_k, out_b]) | |
| chat_btn.click(titan_mentor_ai, [user_msg], [chat_out]) | |
| demo.launch() |