Update app.py

app.py

@@ -1,149 +1,4 @@
-import gradio as gr
-from tts_module import get_voices, text_to_speech
-from pixabay_api import search_pixabay
-from moviepy.editor import (
-    AudioFileClip, VideoFileClip, CompositeAudioClip,
-    concatenate_audioclips, concatenate_videoclips, vfx, CompositeVideoClip,
-    ColorClip
-)
-import asyncio
-import os
-import json
-import time
-import requests
-import tempfile
-import re
-import random
-from google_drive_upload import authenticate_google_drive, upload_to_google_drive
-
-# Crear el archivo de credenciales de servicio desde los secretos
-service_account_info = json.loads(os.getenv('GOOGLE_SERVICE_ACCOUNT', '{}'))
-if service_account_info:
-    with open('service-account.json', 'w') as f:
-        json.dump(service_account_info, f)
-
-# Define la carpeta de salida
-output_folder = "outputs"
-os.makedirs(output_folder, exist_ok=True)
-
-# ID de la carpeta de destino en Google Drive
-FOLDER_ID = "12S6adpanAXjf71pKKGRRPqpzbJa5XEh3"  # Reemplaza con tu ID de carpeta
-
-def resize_and_blur_video(clip, target_aspect_ratio=16/9):
-    """Redimensiona y aplica desenfoque al fondo del video para mantener el aspecto 16:9."""
-    try:
-        w, h = clip.size
-        current_aspect_ratio = w / h
-        if abs(current_aspect_ratio - target_aspect_ratio) < 0.1:
-            return clip
-        if current_aspect_ratio < target_aspect_ratio:  # Video vertical
-            target_w = int(h * target_aspect_ratio)
-            target_h = h
-            background = clip.resize(width=target_w)
-            try:
-                background = background.fx(vfx.blur, sigma=50)
-            except Exception as e:
-                print(f"Error al aplicar blur: {e}")
-            foreground = clip.resize(height=target_h)
-            x_center = (target_w - foreground.w) / 2
-            return CompositeVideoClip(
-                [background, foreground.set_position((x_center, 0))],
-                size=(target_w, target_h)
-            )
-        else:  # Video horizontal
-            return clip.resize(width=int(h * target_aspect_ratio), height=h)
-    except Exception as e:
-        print(f"Error en resize_and_blur_video: {e}")
-        return clip
-
-def concatenate_pixabay_videos(keywords, num_videos_per_keyword=1):
-    """Concatena videos de Pixabay basados en palabras clave."""
-    keyword_list = [keyword.strip() for keyword in keywords.split(",") if keyword.strip()]
-    if not keyword_list:
-        keyword_list = ["nature"]  # Palabra clave por defecto
-    video_clips = []
-    for keyword in keyword_list:
-        try:
-            print(f"Buscando videos para la palabra clave '{keyword}'...")
-            links = search_pixabay(keyword, num_results=num_videos_per_keyword)
-            if not links:
-                print(f"No se encontraron videos para '{keyword}', probando con 'nature'")
-                links = search_pixabay("nature", num_results=num_videos_per_keyword)
-                if not links:
-                    continue
-            link = links[0]
-            video_response = requests.get(link)
-            if video_response.status_code != 200:
-                print(f"Error al descargar video desde {link}")
-                continue
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_video:
-                tmp_video.write(video_response.content)
-                clip = VideoFileClip(tmp_video.name)
-                processed_clip = resize_and_blur_video(clip)
-                video_clips.append(processed_clip)
-                os.unlink(tmp_video.name)  # Limpiamos el archivo temporal
-        except Exception as e:
-            print(f"Error procesando palabra clave '{keyword}': {e}")
-            continue
-    if not video_clips:
-        # Si no hay videos, creamos un clip negro de 5 segundos
-        return ColorClip(size=(1920, 1080), color=[0, 0, 0], duration=5)
-    random.shuffle(video_clips)
-    return concatenate_videoclips(video_clips, method="compose")
-
-def adjust_background_music(video_duration, music_file):
-    """Ajusta la música de fondo para que coincida con la duración del video."""
-    try:
-        music = AudioFileClip(music_file)
-        if music.duration < video_duration:
-            repetitions = int(video_duration / music.duration) + 1
-            music_clips = [music] * repetitions
-            music = concatenate_audioclips(music_clips)
-        music = music.subclip(0, video_duration)
-        return music.volumex(0.2)
-    except Exception as e:
-        print(f"Error ajustando música: {e}")
-        return None
-
-def combine_audio_video(audio_file, video_clip, music_clip=None):
-    """Combina el audio y el video en un archivo final."""
-    try:
-        audio_clip = AudioFileClip(audio_file)
-        total_duration = audio_clip.duration + 2  # Añadimos 2 segundos extra
-        
-        # Aseguramos que el video tenga la duración correcta
-        video_clip = video_clip.loop(duration=total_duration)
-        video_clip = video_clip.set_duration(total_duration).fadeout(2)
-        
-        # Combinamos el audio principal
-        final_clip = video_clip.set_audio(audio_clip)
-        # Añadimos la música de fondo si existe
-        if music_clip:
-            music_clip = music_clip.set_duration(total_duration).audio_fadeout(2)
-            final_clip = final_clip.set_audio(CompositeAudioClip([audio_clip, music_clip]))
-        # Generamos el nombre del archivo y la ruta
-        output_filename = f"final_video_{int(time.time())}.mp4"
-        output_path = os.path.join(output_folder, output_filename)
-        
-        # Guardamos el video
-        final_clip.write_videofile(output_path, codec="libx264", audio_codec="aac", fps=24)
-        
-        # Limpiamos los clips
-        final_clip.close()
-        video_clip.close()
-        audio_clip.close()
-        if music_clip:
-            music_clip.close()
-            
-        return output_path
-    except Exception as e:
-        print(f"Error combinando audio y video: {e}")
-        if 'final_clip' in locals():
-            final_clip.close()
-        return None
-
-def process_input(text, txt_file, mp3_file, selected_voice, rate, pitch, keywords):
-    """Procesa la entrada del usuario y genera el video final."""
+def process_input_with_resume(text, txt_file, mp3_file, selected_voice, rate, pitch, keywords):
     try:
         # Determinamos el texto a usar
         if text.strip():
@@ -152,62 +7,51 @@ def process_input(text, txt_file, mp3_file, selected_voice, rate, pitch, keyword
             final_text = txt_file.decode("utf-8")
         else:
             raise ValueError("No text input provided")
-        # Generamos el audio
-        audio_file = asyncio.run(text_to_speech(final_text, selected_voice, rate, pitch))
-        if not audio_file:
-            raise ValueError("Failed to generate audio")
-        # Generamos el video
-        video_clip = concatenate_pixabay_videos(keywords, num_videos_per_keyword=1)
-        if not video_clip:
-            raise ValueError("Failed to generate video")
-        # Procesamos la música de fondo si existe
-        music_clip = None
-        if mp3_file is not None:
-            music_clip = adjust_background_music(video_clip.duration, mp3_file.name)
-        # Combinamos todo
-        final_video_path = combine_audio_video(audio_file, video_clip, music_clip)
-        if not final_video_path:
-            raise ValueError("Failed to combine audio and video")
-        # Subimos a Google Drive
+
+        # Dividimos el texto en segmentos
+        segments = split_text_into_segments(final_text, max_segment_length=30)
+        video_clips = []
+
+        for i, segment in enumerate(segments):
+            segment_file = os.path.join(output_folder, f"segment_{i}.mp4")
+            if os.path.exists(segment_file):  # Verifica si el segmento ya existe
+                print(f"Segmento {i} ya procesado, saltando...")
+                video_clips.append(VideoFileClip(segment_file))
+                continue
+
+            print(f"Procesando segmento {i + 1}/{len(segments)}...")
+            audio_segment = asyncio.run(text_to_speech(segment, selected_voice, rate, pitch))
+            if not audio_segment:
+                raise ValueError(f"Failed to generate audio for segment {i + 1}")
+
+            video_clip = concatenate_pixabay_videos(keywords, num_videos_per_keyword=1)
+            if not video_clip:
+                raise ValueError(f"Failed to generate video for segment {i + 1}")
+
+            music_clip = adjust_background_music(video_clip.duration, mp3_file.name) if mp3_file else None
+            video_segment_path = combine_audio_video(audio_segment, video_clip, music_clip)
+
+            # Guardamos el segmento
+            os.rename(video_segment_path, segment_file)
+            video_clips.append(VideoFileClip(segment_file))
+
+            # Subimos el segmento a Google Drive (opcional)
+            upload_to_google_drive(segment_file, folder_id=FOLDER_ID)
+
+        # Combinamos todos los segmentos en un solo video
+        final_video_clip = concatenate_videoclips(video_clips, method="compose")
+        final_video_path = os.path.join(output_folder, f"final_video_{int(time.time())}.mp4")
+        final_video_clip.write_videofile(final_video_path, codec="libx264", audio_codec="aac", fps=24)
+
+        # Subimos el video final a Google Drive
         video_id = upload_to_google_drive(final_video_path, folder_id=FOLDER_ID)
         if video_id:
             print(f"Video subido a Google Drive con ID: {video_id}")
         else:
             print("Error subiendo el video a Google Drive")
-        
+
         return final_video_path
+
     except Exception as e:
         print(f"Error durante el procesamiento: {e}")
-        return None
-
-# Interfaz Gradio
-with gr.Blocks() as demo:
-    gr.Markdown("# Text-to-Video Generator")
-    with gr.Row():
-        with gr.Column():
-            text_input = gr.Textbox(label="Write your text here", lines=5)
-            txt_file_input = gr.File(label="Or upload a .txt file", file_types=[".txt"])
-            mp3_file_input = gr.File(label="Upload background music (.mp3)", file_types=[".mp3"])
-            keyword_input = gr.Textbox(
-                label="Enter keywords separated by commas (e.g., universe, galaxy, forest, cat)",
-                value="nature"
-            )
-            voices = asyncio.run(get_voices())
-            voice_dropdown = gr.Dropdown(choices=list(voices.keys()), label="Select Voice")
-            rate_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1)
-            pitch_slider = gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
-        with gr.Column():
-           output_video = gr.File(label="Generated Video")  # En lugar de gr.Video
-
-    btn = gr.Button("Generate Video")
-    btn.click(
-        process_input,
-        inputs=[text_input, txt_file_input, mp3_file_input, voice_dropdown, rate_slider, pitch_slider, keyword_input],
-        outputs=output_video
-    )
-
-# Leer el puerto asignado por Hugging Face
-port = int(os.getenv("PORT", 7860))
-
-# Lanzar la aplicación
-demo.launch(server_name="0.0.0.0", server_port=port, share=True, show_error=True)
+        return None