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Update app.py
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app.py
CHANGED
@@ -17,17 +17,23 @@ logger = logging.getLogger(__name__)
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# Pexels API key from environment variable
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PEXELS_API_KEY = os.getenv("PEXELS_API_KEY")
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logger.info("Loaded PEXELS_API_KEY from environment")
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# Ensure asyncio works with Gradio
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def run_async(coro):
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logger.info("Running async coroutine")
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# Load lightweight text generation model for Spanish
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logger.info("Loading text generation model: facebook/mbart-large-50")
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@@ -57,21 +63,24 @@ def fetch_pexels_videos(query, num_videos=5):
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logger.info(f"Fetching {num_videos} videos from Pexels with query: {query}")
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headers = {"Authorization": PEXELS_API_KEY}
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url = f"https://api.pexels.com/videos/search?query={query}&per_page={num_videos}"
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return []
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# Generate script using local model or custom text
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def generate_script(prompt, custom_text=None):
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logger.info("Generating script")
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if custom_text:
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logger.info("Using custom text provided by user")
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return custom_text.strip()
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if not prompt:
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logger.error("No prompt or custom text provided")
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return "Error: Debes proporcionar un prompt o un guion personalizado."
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@@ -105,34 +114,68 @@ def generate_script(prompt, custom_text=None):
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# Generate voice using Edge TTS
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async def generate_voice(text, output_file="output.mp3"):
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try:
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await communicate.save(output_file)
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logger.info(f"Voice generated and saved to {output_file}")
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return output_file
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except Exception as e:
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logger.error(f"Error generating voice: {e}")
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return None
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# Download and trim video
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def download_and_trim_video(url, duration, output_path):
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logger.info(f"Downloading video from {url}")
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# Main video creation function
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def create_video(prompt, custom_text, music_file):
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logger.info("Starting video creation process")
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output_dir = "output_videos"
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os.makedirs(output_dir, exist_ok=True)
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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@@ -147,13 +190,19 @@ def create_video(prompt, custom_text, music_file):
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# Generate voice
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voice_file = "temp_audio.mp3"
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run_async(generate_voice(script, voice_file))
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logger.error("Voice generation failed")
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return "Error: No se pudo generar la voz."
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# Fetch Pexels videos
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query = prompt.split()[0] if prompt else "generic"
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@@ -166,52 +215,122 @@ def create_video(prompt, custom_text, music_file):
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clips = []
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for i, url in enumerate(video_urls):
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clip_path = f"temp_clip_{i}.mp4"
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download_and_trim_video(url, video_duration / len(video_urls), clip_path)
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# Concatenate video clips
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logger.info("Concatenating video clips")
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logger.
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# Write final video
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logger.info(f"Writing final video to {output_video}")
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# Clean up
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logger.info("Cleaning up temporary files")
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clip
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return output_video
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# Generador de Videos")
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gr.Markdown("
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# Pexels API key from environment variable
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PEXELS_API_KEY = os.getenv("PEXELS_API_KEY")
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if not PEXELS_API_KEY:
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logger.error("PEXELS_API_KEY no encontrada en variables de entorno")
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logger.info("Loaded PEXELS_API_KEY from environment")
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# Ensure asyncio works with Gradio
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def run_async(coro):
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logger.info("Running async coroutine")
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try:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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result = loop.run_until_complete(coro)
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loop.close()
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logger.info("Async coroutine completed")
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return result
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except Exception as e:
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logger.error(f"Error en run_async: {e}")
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return None
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# Load lightweight text generation model for Spanish
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logger.info("Loading text generation model: facebook/mbart-large-50")
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logger.info(f"Fetching {num_videos} videos from Pexels with query: {query}")
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headers = {"Authorization": PEXELS_API_KEY}
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url = f"https://api.pexels.com/videos/search?query={query}&per_page={num_videos}"
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try:
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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videos = [video["video_files"][0]["link"] for video in response.json()["videos"]]
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logger.info(f"Fetched {len(videos)} videos from Pexels")
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return videos
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logger.error(f"Failed to fetch videos from Pexels. Status code: {response.status_code}")
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except Exception as e:
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logger.error(f"Error fetching videos from Pexels: {e}")
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return []
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# Generate script using local model or custom text
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def generate_script(prompt, custom_text=None):
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logger.info("Generating script")
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if custom_text and custom_text.strip():
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logger.info("Using custom text provided by user")
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return custom_text.strip()
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if not prompt or not prompt.strip():
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logger.error("No prompt or custom text provided")
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return "Error: Debes proporcionar un prompt o un guion personalizado."
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# Generate voice using Edge TTS
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async def generate_voice(text, output_file="output.mp3"):
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if not text or len(text.strip()) < 10:
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logger.error("Texto demasiado corto para generar voz")
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return None
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logger.info(f"Generating voice with Edge TTS")
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try:
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# Seleccionar una voz aleatoria
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voice = random.choice(SPANISH_VOICES)
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logger.info(f"Using voice: {voice}")
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communicate = edge_tts.Communicate(text, voice=voice)
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await communicate.save(output_file)
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logger.info(f"Voice generated and saved to {output_file}")
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return output_file
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except Exception as e:
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logger.error(f"Error generating voice: {e}")
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# Intentar con otra voz si falla
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for voice in SPANISH_VOICES:
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try:
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logger.info(f"Trying with voice: {voice}")
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communicate = edge_tts.Communicate(text, voice=voice)
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await communicate.save(output_file)
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logger.info(f"Voice generated with backup voice {voice}")
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return output_file
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except:
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continue
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logger.error("All voice attempts failed")
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return None
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# Download and trim video
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def download_and_trim_video(url, duration, output_path):
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logger.info(f"Downloading video from {url}")
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try:
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response = requests.get(url, stream=True)
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response.raise_for_status()
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with open("temp_video.mp4", "wb") as f:
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for chunk in response.iter_content(chunk_size=1024):
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f.write(chunk)
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logger.info("Trimming video")
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clip = VideoFileClip("temp_video.mp4")
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clip_duration = min(duration, clip.duration)
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clip = clip.subclip(0, clip_duration)
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clip.write_videofile(output_path, codec="libx264", audio_codec="aac", threads=4)
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clip.close()
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os.remove("temp_video.mp4")
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logger.info(f"Video trimmed and saved to {output_path}")
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return output_path
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except Exception as e:
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logger.error(f"Error downloading/trimming video: {e}")
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return None
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# Main video creation function
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def create_video(prompt, custom_text, music_file):
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logger.info("Starting video creation process")
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# Validar inputs
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if not prompt and not custom_text:
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logger.error("No prompt or custom text provided")
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return "Error: Debes proporcionar un prompt o un guion personalizado."
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output_dir = "output_videos"
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os.makedirs(output_dir, exist_ok=True)
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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# Generate voice
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voice_file = "temp_audio.mp3"
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voice_result = run_async(generate_voice(script, voice_file))
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if not voice_result or not os.path.exists(voice_file):
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logger.error("Voice generation failed")
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return "Error: No se pudo generar la voz. Intenta con un texto diferente."
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try:
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audio = AudioFileClip(voice_file)
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video_duration = audio.duration
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logger.info(f"Audio duration: {video_duration} seconds")
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except Exception as e:
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logger.error(f"Error loading audio file: {e}")
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return "Error: El archivo de audio generado es inválido."
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# Fetch Pexels videos
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query = prompt.split()[0] if prompt else "generic"
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clips = []
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for i, url in enumerate(video_urls):
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clip_path = f"temp_clip_{i}.mp4"
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result = download_and_trim_video(url, video_duration / len(video_urls), clip_path)
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if result:
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try:
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clip = VideoFileClip(clip_path)
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clips.append(clip)
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logger.info(f"Processed video clip {i+1}/{len(video_urls)}")
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except Exception as e:
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logger.error(f"Error loading clip {i+1}: {e}")
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continue
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if not clips:
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logger.error("No valid video clips available")
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return "Error: No se pudieron procesar los videos descargados."
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# Concatenate video clips
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logger.info("Concatenating video clips")
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try:
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final_clip = concatenate_videoclips(clips, method="compose")
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final_clip = final_clip.set_duration(video_duration)
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except Exception as e:
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logger.error(f"Error concatenating clips: {e}")
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return "Error: No se pudieron unir los segmentos de video."
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# Add looped music or voice
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try:
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if music_file:
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logger.info("Adding user-uploaded music")
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music = AudioFileClip(music_file.name)
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music = audio_loop(music, duration=video_duration)
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final_audio = CompositeAudioClip([audio, music.volumex(0.3)])
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else:
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logger.info("Using generated voice as audio")
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final_audio = audio
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final_clip = final_clip.set_audio(final_audio)
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except Exception as e:
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logger.error(f"Error processing audio: {e}")
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return "Error: Problema al procesar el audio."
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# Write final video
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logger.info(f"Writing final video to {output_video}")
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try:
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final_clip.write_videofile(
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output_video,
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codec="libx264",
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audio_codec="aac",
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fps=24,
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threads=4,
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preset='ultrafast',
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bitrate="3000k"
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)
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except Exception as e:
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logger.error(f"Error writing video file: {e}")
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return "Error: No se pudo generar el video final."
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# Clean up
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logger.info("Cleaning up temporary files")
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try:
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for clip in clips:
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clip.close()
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audio.close()
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if music_file:
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music.close()
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final_clip.close()
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os.remove(voice_file)
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for i in range(len(video_urls)):
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if os.path.exists(f"temp_clip_{i}.mp4"):
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os.remove(f"temp_clip_{i}.mp4")
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except Exception as e:
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logger.error(f"Error during cleanup: {e}")
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logger.info("Video creation completed successfully")
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return output_video
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# Generador de Videos Automáticos")
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gr.Markdown("""
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Crea videos automáticos con voz en español.
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Ingresa un tema (ej. 'Top 10 recetas mexicanas') o escribe tu propio guion.
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""")
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(
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label="Tema del Video",
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placeholder="Ejemplo: Top 10 lugares para visitar en México",
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max_lines=2
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)
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custom_text = gr.Textbox(
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label="Guion Personalizado (opcional)",
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placeholder="Pega aquí tu propio guion si prefieres...",
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max_lines=10
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)
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music_file = gr.File(
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label="Música de Fondo (opcional, MP3)",
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file_types=[".mp3"]
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)
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submit = gr.Button("Generar Video", variant="primary")
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with gr.Column():
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output = gr.Video(label="Video Generado", format="mp4")
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gr.Examples(
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examples=[
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["Top 10 ciudades de México", "", None],
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["", "1. Ciudad de México - La capital vibrante\n2. Guadalajara - Cuna del mariachi\n3. Monterrey - Modernidad industrial", None]
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],
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inputs=[prompt, custom_text, music_file],
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label="Ejemplos para probar"
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)
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submit.click(
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fn=create_video,
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inputs=[prompt, custom_text, music_file],
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outputs=output,
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api_name="generate_video"
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)
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demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
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