File size: 10,213 Bytes
4a04dae 8eb6c1b 4a04dae dc23696 fc4d759 4a04dae 8eb6c1b 4a04dae 8eb6c1b 4a04dae 8eb6c1b 4a04dae eb21acb 8eb6c1b eb21acb 8eb6c1b eb21acb 4a04dae 2b31c2c 1107c5d 2b31c2c dc23696 2b31c2c 1107c5d fc4d759 d97f0d8 8eb6c1b fc4d759 8eb6c1b 504becd 8eb6c1b 29652ae 6fdb9ae dc23696 6fdb9ae dc23696 27a4f8e 6fdb9ae |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 |
import tempfile
import logging
import os
import asyncio
from moviepy.editor import *
import edge_tts
import gradio as gr
from pydub import AudioSegment
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
INTRO_VIDEO = "introvideo.mp4"
OUTRO_VIDEO = "outrovideo.mp4"
MUSIC_BG = "musicafondo.mp3"
EJEMPLO_VIDEO = "ejemplo.mp4"
for file in [INTRO_VIDEO, OUTRO_VIDEO, MUSIC_BG, EJEMPLO_VIDEO]:
if not os.path.exists(file):
logging.error(f"Falta archivo necesario: {file}")
raise FileNotFoundError(f"Falta: {file}")
SEGMENT_DURATION = 30
TRANSITION_DURATION = 1.5
def eliminar_archivo_tiempo(ruta, delay=1800):
def eliminar():
try:
if os.path.exists(ruta):
os.remove(ruta)
logging.info(f"Archivo eliminado: {ruta}")
except Exception as e:
logging.error(f"Error al eliminar {ruta}: {e}")
from threading import Timer
Timer(delay, eliminar).start()
async def generar_tts(texto, voz, duracion_total):
try:
logging.info("Generando TTS")
communicate = edge_tts.Communicate(texto, voz)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_tts:
await communicate.save(tmp_tts.name)
tts_audio = AudioFileClip(tmp_tts.name)
if tts_audio.duration > duracion_total:
tts_audio = tts_audio.subclip(0, duracion_total)
return tts_audio, tmp_tts.name
except Exception as e:
logging.error(f"Fallo en TTS: {str(e)}")
raise
def crear_musica_fondo(duracion_total):
bg_music = AudioSegment.from_mp3(MUSIC_BG)
needed_ms = int(duracion_total * 1000)
repeticiones = needed_ms // len(bg_music) + 1
bg_music = bg_music * repeticiones
bg_music = bg_music[:needed_ms].fade_out(1000)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_bg:
bg_music.export(tmp_bg.name, format="mp3")
return AudioFileClip(tmp_bg.name).volumex(0.15), tmp_bg.name
def create_slide_transition(clip1, clip2, duration=TRANSITION_DURATION):
part1 = clip1.subclip(clip1.duration - duration)
part2 = clip2.subclip(0, duration)
transition = CompositeVideoClip([
part1.fx(vfx.fadeout, duration),
part2.fx(vfx.fadein, duration).set_position(
lambda t: ('center', 720 - (720 * (t/duration)))
)
], size=(1280, 720)).set_duration(duration)
return transition
async def procesar_video(video_input, texto_tts, voz_seleccionada):
temp_files = []
intro, outro, video_original = None, None, None
try:
logging.info("Iniciando procesamiento")
video_original = VideoFileClip(video_input, target_resolution=(720, 1280))
duracion_video = video_original.duration
tts_audio, tts_path = await generar_tts(texto_tts, voz_seleccionada, duracion_video)
bg_audio, bg_path = crear_musica_fondo(duracion_video)
temp_files.extend([tts_path, bg_path])
audio_original = video_original.audio.volumex(0.7) if video_original.audio else None
audios = [bg_audio.set_duration(duracion_video)]
if audio_original:
audios.append(audio_original)
audios.append(tts_audio.set_start(0).volumex(0.85))
audio_final = CompositeAudioClip(audios).set_duration(duracion_video)
video_final = video_original.copy()
if duracion_video > SEGMENT_DURATION:
clips = []
num_segments = int(duracion_video // SEGMENT_DURATION) + (1 if duracion_video % SEGMENT_DURATION > 0 else 0)
for i in range(num_segments):
start_time = i * SEGMENT_DURATION
end_time = min(start_time + SEGMENT_DURATION, duracion_video)
segment = video_original.subclip(start_time, end_time)
if i == 0:
clips.append(segment)
else:
prev_segment = clips[-1]
transition = create_slide_transition(prev_segment, segment)
prev_end = prev_segment.duration - TRANSITION_DURATION
if prev_end > 0:
clips[-1] = prev_segment.subclip(0, prev_end)
clips.append(transition)
clips.append(segment)
video_final = concatenate_videoclips(clips, method="compose")
video_final = video_final.set_audio(audio_final)
intro = VideoFileClip(INTRO_VIDEO, target_resolution=(720, 1280))
outro = VideoFileClip(OUTRO_VIDEO, target_resolution=(720, 1280))
video_final = concatenate_videoclips([intro, video_final, outro], method="compose")
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp:
video_final.write_videofile(
tmp.name,
codec="libx264",
audio_codec="aac",
fps=24,
threads=2,
bitrate="3M",
ffmpeg_params=[
"-preset", "ultrafast",
"-crf", "28",
"-movflags", "+faststart",
"-vf", "scale=1280:720"
],
verbose=False
)
eliminar_archivo_tiempo(tmp.name, 1800)
logging.info(f"Video final guardado: {tmp.name}")
return tmp.name
except Exception as e:
logging.error(f"Fallo general: {str(e)}")
raise
finally:
try:
if video_original:
video_original.close()
if intro:
intro.close()
if outro:
outro.close()
for file in temp_files:
try:
os.remove(file)
except Exception as e:
logging.warning(f"Error limpiando {file}: {e}")
except Exception as e:
logging.warning(f"Error al cerrar recursos: {str(e)}")
with gr.Blocks() as demo:
gr.Markdown("# Editor de Video con IA")
with gr.Tab("Principal"):
video_input = gr.Video(label="Subir video")
texto_tts = gr.Textbox(
label="Texto para TTS",
lines=3,
placeholder="Escribe aquí tu texto..."
)
voz_seleccionada = gr.Dropdown(
label="Voz",
choices=[
"es-ES-AlvaroNeural", "es-MX-BeatrizNeural",
"es-ES-ElviraNeural", "es-MX-JavierNeural",
"es-AR-ElenaNeural", "es-AR-TomasNeural",
"es-CL-CatalinaNeural", "es-CL-LorenzoNeural",
"es-CO-SofiaNeural", "es-CO-GonzaloNeural",
"es-PE-CamilaNeural", "es-PE-AlexNeural",
"es-VE-MariaNeural", "es-VE-ManuelNeural",
"es-US-AlonsoNeural", "es-US-PalomaNeural",
"es-ES-AbrilNeural", "es-ES-DarioNeural",
"es-ES-HelenaRUS", "es-ES-LauraNeural",
"es-ES-PabloNeural", "es-ES-TriniNeural",
"en-US-AriaNeural", "en-US-GuyNeural",
"en-US-JennyNeural", "en-US-AmberNeural",
"en-US-AnaNeural", "en-US-AshleyNeural",
"en-US-BrandonNeural", "en-US-ChristopherNeural",
"en-US-CoraNeural", "en-US-DavisNeural",
"en-US-ElizabethNeural", "en-US-EricNeural",
"en-US-GinaNeural", "en-US-JacobNeural",
"en-US-JaneNeural", "en-US-JasonNeural",
"en-US-MichelleNeural", "en-US-MonicaNeural",
"en-US-SaraNeural", "en-US-SteffanNeural",
"en-US-TonyNeural", "en-US-YaraNeural",
"fr-FR-AlainNeural", "fr-FR-BrigitteNeural",
"fr-FR-CelesteNeural", "fr-FR-ClaudeNeural",
"fr-FR-CoralieNeural", "fr-FR-DeniseNeural",
"fr-FR-EloiseNeural", "fr-FR-HenriNeural",
"fr-FR-JacquelineNeural", "fr-FR-JeromeNeural",
"fr-FR-JosephineNeural", "fr-FR-MauriceNeural",
"fr-FR-YvesNeural", "fr-FR-YvetteNeural",
"de-DE-AmalaNeural", "de-DE-BerndNeural",
"de-DE-ChristophNeural", "de-DE-ConradNeural",
"de-DE-ElkeNeural", "de-DE-GiselaNeural",
"de-DE-KasperNeural", "de-DE-KatjaNeural",
"de-DE-KillianNeural", "de-DE-KlarissaNeural",
"de-DE-KlausNeural", "de-DE-LouisaNeural",
"de-DE-MajaNeural", "de-DE-RalfNeural",
"de-DE-TanjaNeural", "de-DE-ViktoriaNeural",
"it-IT-BenignoNeural", "it-IT-CalimeroNeural",
"it-IT-CataldoNeural", "it-IT-DiegoNeural",
"it-IT-ElsaNeural", "it-IT-FabiolaNeural",
"it-IT-GianniNeural", "it-IT-ImeldaNeural",
"it-IT-IrmaNeural", "it-IT-IsabellaNeural",
"it-IT-LisandroNeural", "it-IT-PalmiraNeural",
"it-IT-PierinaNeural", "it-IT-RinaldoNeural",
"ja-JP-AoiNeural", "ja-JP-DaichiNeural",
"ja-JP-HarukaNeural", "ja-JP-KeitaNeural",
"ja-JP-MayuNeural", "ja-JP-NanamiNeural",
"ja-JP-NaokiNeural", "ja-JP-ShioriNeural"
],
value="es-ES-AlvaroNeural"
)
procesar_btn = gr.Button("Generar Video")
video_output = gr.Video(label="Video Procesado")
with gr.Accordion("Ejemplos de Uso", open=False):
gr.Examples(
examples=[[EJEMPLO_VIDEO, "¡Hola! Esto es una prueba. Suscríbete al canal."]],
inputs=[video_input, texto_tts],
label="Ejemplos"
)
procesar_btn.click(
procesar_video,
inputs=[video_input, texto_tts, voz_seleccionada],
outputs=video_output
)
gr.Markdown("""
### ℹ️ Notas importantes:
- Las transiciones ocurren solamente cada 30 segundos
- El video contiene intro y outro predefinidos
- El archivo generado se elimina después de 30 minutos
- Para mejores resultados, usa videos de dimensiones 720p o 1080p
""")
if __name__ == "__main__":
demo.queue().launch() |