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Update app.py
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app.py
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@@ -1,7 +1,7 @@
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# -*- coding: utf-8 -*-
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"""
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Centralita Torá — HuggingFace Space (Gradio)
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Leer hebreo + español ·
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"""
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import os, glob, json, tempfile, html, asyncio, subprocess, shutil, re
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import urllib.request
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@@ -33,17 +33,18 @@ GROQ_URL = "https://api.groq.com/openai/v1/chat/completions"
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GROQ_KEY = os.environ.get("GROQ_API_KEY")
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# --- PROCESAMIENTO ACÚSTICO FFMEPG (ESPAÑOL) ---
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def procesar_audio_narrador(ruta):
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"""Efecto
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if not shutil.which("ffmpeg"):
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return ruta
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filtros = [
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"atempo=0.
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"bass=g=
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"treble=g=
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"aecho=0.
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]
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salida = ruta[:-4] + "_narrador.mp3"
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cmd = ["ffmpeg", "-y", "-i", ruta, "-af", ", ".join(filtros), "-ac", "2", salida]
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@@ -58,19 +59,19 @@ def procesar_audio_narrador(ruta):
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def procesar_audio_divino(ruta):
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"""
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Efecto
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"""
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if not shutil.which("ffmpeg"):
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return ruta
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filtros = [
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"atempo=0.
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"asetrate=44100*0.
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"aresample=44100",
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"bass=g=
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"treble=g=-
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"aecho=0.
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]
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salida = ruta[:-4] + "_divino.mp3"
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cmd = ["ffmpeg", "-y", "-i", ruta, "-af", ", ".join(filtros), "-ac", "2", salida]
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@@ -127,9 +128,6 @@ def mezclar_fondo(voz_path):
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# --- SEPARACIÓN DE BLOQUES (NARRADOR vs DIOS) PARA ESPAÑOL ---
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def segmentar_texto_divino(texto):
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"""
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Detecta patrones para dividir el texto entre 'narrador' y 'dios'.
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"""
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patron = r'((?:Y\s+dijo\s+Dios|dijo\s+Dios|Y\s+llamó\s+Dios|Y\s+bendijo\s+Dios)[^:,.–—]*[:,.–—]?\s*)([^.\n]+)'
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bloques = []
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ultimo_idx = 0
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@@ -159,7 +157,6 @@ async def generar_bloque_audio(texto, es_divino):
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rate = "-9%" if es_divino else VOZ_RATE
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try:
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# El texto se pasa limpio, sin corrupciones en las vocales.
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com = edge_tts.Communicate(texto[:4000], voz, rate=rate, pitch=pitch)
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await com.save(ruta)
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except Exception:
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@@ -309,18 +306,29 @@ def render(nombre, cap):
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vs = versiculos(lid, cap)
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if not vs:
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return f"<div class='pasaje'><p>No hay texto para {html.escape(d.get('es',''))} {cap}.</p></div>", "", ""
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filas = [f"<div class='cab'><span class='h'>{html.escape(d.get('heb',''))}</span><br>"
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f"{html.escape(d.get('es',''))} {cap}</div>"]
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plano_es, plano_he = [], []
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for v in vs:
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-
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fila = f"<div class='verso'><span class='num'>{v.get('n','')}</span>"
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if he:
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fila += f"<span class='he'>{he}</span>"
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if es:
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fila += f"<span class='es'>{es}</span>"
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fila += "</div>"
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filas.append(fila)
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return f"<div class='pasaje'>{''.join(filas)}</div>", " ".join(plano_es), " ".join(plano_he)
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@@ -358,7 +366,7 @@ with gr.Blocks(theme=fenix_theme(), css=FENIX_CSS, title="Centralita Torá") as
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st_cap = gr.State(1)
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gr.HTML("<div id='cabecera'><div class='estrella'>✡</div>"
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"<h1>Centralita Torá</h1><p>hebreo y español · canto Trope real y Voz Divina
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with gr.Tab("Leer"):
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with gr.Row():
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# -*- coding: utf-8 -*-
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"""
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Centralita Torá — HuggingFace Space (Gradio)
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+
Leer hebreo + español · canto Trope real y Voz Divina cercana y limpia
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"""
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import os, glob, json, tempfile, html, asyncio, subprocess, shutil, re
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import urllib.request
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GROQ_KEY = os.environ.get("GROQ_API_KEY")
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# --- PROCESAMIENTO ACÚSTICO FFMEPG (ESPAÑOL MÁS CERCANO Y SIN ECO EXCESIVO) ---
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def procesar_audio_narrador(ruta):
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"""Efecto cercano y limpio para el narrador."""
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if not shutil.which("ffmpeg"):
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return ruta
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# Menos eco, más presencia cercana (frecuencias medias y altas claras)
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filtros = [
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"atempo=0.92",
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"bass=g=5:f=120",
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"treble=g=2",
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"aecho=0.8:0.88:40:0.15" # Eco muy corto y sutil para dar cuerpo sin alejar la voz
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]
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salida = ruta[:-4] + "_narrador.mp3"
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cmd = ["ffmpeg", "-y", "-i", ruta, "-af", ", ".join(filtros), "-ac", "2", salida]
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def procesar_audio_divino(ruta):
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"""
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Efecto imponente pero CERCANO para la Voz de Dios.
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Graves profundos sin eco lejano.
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"""
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if not shutil.which("ffmpeg"):
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return ruta
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filtros = [
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"atempo=0.88",
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"asetrate=44100*0.88",
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"aresample=44100",
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"bass=g=12:f=180",
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"treble=g=-3",
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"aecho=0.85:0.9:50:0.2" # Retardo mínimo para mantener la voz en primer plano
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]
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salida = ruta[:-4] + "_divino.mp3"
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cmd = ["ffmpeg", "-y", "-i", ruta, "-af", ", ".join(filtros), "-ac", "2", salida]
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# --- SEPARACIÓN DE BLOQUES (NARRADOR vs DIOS) PARA ESPAÑOL ---
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def segmentar_texto_divino(texto):
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patron = r'((?:Y\s+dijo\s+Dios|dijo\s+Dios|Y\s+llamó\s+Dios|Y\s+bendijo\s+Dios)[^:,.–—]*[:,.–—]?\s*)([^.\n]+)'
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bloques = []
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ultimo_idx = 0
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rate = "-9%" if es_divino else VOZ_RATE
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try:
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com = edge_tts.Communicate(texto[:4000], voz, rate=rate, pitch=pitch)
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await com.save(ruta)
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except Exception:
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vs = versiculos(lid, cap)
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if not vs:
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return f"<div class='pasaje'><p>No hay texto para {html.escape(d.get('es',''))} {cap}.</p></div>", "", ""
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filas = [f"<div class='cab'><span class='h'>{html.escape(d.get('heb',''))}</span><br>"
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f"{html.escape(d.get('es',''))} {cap}</div>"]
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plano_es, plano_he = [], []
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for v in vs:
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# Limpieza de residuos HTML del JSON
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he_raw = v.get("he", "").replace(" ", " ").replace("{פ}", "").replace("{ס}", "").strip()
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es_raw = v.get("es", "").replace(" ", " ").strip()
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he = html.escape(he_raw)
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es = html.escape(es_raw)
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fila = f"<div class='verso'><span class='num'>{v.get('n','')}</span>"
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if he:
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fila += f"<span class='he'>{he}</span>"
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plano_he.append(he_raw)
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if es:
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fila += f"<span class='es'>{es}</span>"
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plano_es.append(es_raw)
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fila += "</div>"
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filas.append(fila)
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return f"<div class='pasaje'>{''.join(filas)}</div>", " ".join(plano_es), " ".join(plano_he)
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st_cap = gr.State(1)
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gr.HTML("<div id='cabecera'><div class='estrella'>✡</div>"
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"<h1>Centralita Torá</h1><p>hebreo y español · canto Trope real y Voz Divina cercana</p></div>")
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with gr.Tab("Leer"):
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with gr.Row():
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