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Update app.py
Browse files
app.py
CHANGED
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@@ -34,8 +34,8 @@ logger.info("="*80)
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PEXELS_API_KEY = os.environ.get("PEXELS_API_KEY")
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if not PEXELS_API_KEY:
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logger.critical("PEXELS_API_KEY environment variable not found.")
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#
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# raise ValueError("Pexels API key not configured")
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# Model Initialization
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MODEL_NAME = "datificate/gpt2-small-spanish"
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@@ -99,7 +99,7 @@ def buscar_videos_pexels(query, api_key, per_page=5):
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return []
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def generate_script(prompt, max_length=150):
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logger.info(f"
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if not tokenizer or not model:
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logger.warning("GPT-2 models not available - Using original prompt as script.")
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return prompt
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@@ -137,10 +137,10 @@ def generate_script(prompt, max_length=150):
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final_text += " " + sentences[1].strip() + "."
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final_text = final_text.replace("..", ".")
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logger.info(f"
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return final_text.strip()
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logger.info(f"
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return text.strip()
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except Exception as e:
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@@ -182,12 +182,9 @@ def download_video_file(url, temp_dir):
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with requests.get(url, stream=True, timeout=60) as r:
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r.raise_for_status()
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# total_size = int(r.headers.get('content-length', 0)) # Uncomment for progress logging
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# downloaded_size = 0
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with open(output_path, 'wb') as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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# downloaded_size += len(chunk) # Uncomment for progress logging
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if os.path.exists(output_path) and os.path.getsize(output_path) > 1000:
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logger.info(f"Video downloaded successfully: {output_path} | Size: {os.path.getsize(output_path)} bytes")
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@@ -207,7 +204,7 @@ def download_video_file(url, temp_dir):
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def loop_audio_to_length(audio_clip, target_duration):
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logger.debug(f"Adjusting audio | Current duration: {audio_clip.duration:.2f}s | Target: {target_duration:.2f}s")
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if audio_clip.duration <= 0:
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logger.warning("Audio clip has zero or negative duration, cannot loop.")
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return AudioFileClip(filename="")
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@@ -219,9 +216,16 @@ def loop_audio_to_length(audio_clip, target_duration):
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logger.debug(f"Creating {loops} audio loops")
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audio_segments = [audio_clip] * loops
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def extract_visual_keywords_from_script(script_text):
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logger.info("Extracting keywords from script")
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@@ -244,7 +248,7 @@ def extract_visual_keywords_from_script(script_text):
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seen_keywords = set()
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for keyword, score in all_keywords:
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formatted_keyword = keyword.lower().replace(" ", "+")
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if formatted_keyword and formatted_keyword not in seen_keywords:
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keywords_list.append(formatted_keyword)
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seen_keywords.add(formatted_keyword)
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if len(keywords_list) >= 5:
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@@ -285,6 +289,11 @@ def crear_video(prompt_type, input_text, musica_file=None):
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start_time = datetime.now()
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temp_dir_intermediate = None
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try:
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# 1. Generate or use script
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if prompt_type == "Generar Guion con IA":
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@@ -314,8 +323,10 @@ def crear_video(prompt_type, input_text, musica_file=None):
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audio_duration = audio_tts.duration
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logger.info(f"Voice audio duration: {audio_duration:.2f} seconds")
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if audio_duration <
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logger.
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# 3. Extract keywords
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logger.info("Extracting keywords...")
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@@ -400,8 +411,8 @@ def crear_video(prompt_type, input_text, musica_file=None):
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logger.info("Processing and concatenating downloaded videos...")
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clips = []
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current_duration = 0
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min_clip_duration =
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max_clip_segment =
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for i, path in enumerate(video_paths):
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if current_duration >= audio_duration + max_clip_segment:
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@@ -413,12 +424,10 @@ def crear_video(prompt_type, input_text, musica_file=None):
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logger.debug(f"[{i+1}/{len(video_paths)}] Opening clip: {path}")
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clip = VideoFileClip(path)
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# Check clip validity after opening
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if clip.reader is None or clip.duration is None or clip.duration <= 0:
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logger.warning(f"[{i+1}/{len(video_paths)}] Clip {path} seems invalid (reader is None or duration <= 0). Skipping.")
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continue
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# Calculate how much to take from this clip
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remaining_needed = audio_duration - current_duration
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potential_use_duration = min(clip.duration, max_clip_segment)
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@@ -433,6 +442,7 @@ def crear_video(prompt_type, input_text, musica_file=None):
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clips.append(sub)
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current_duration += sub.duration
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logger.debug(f"[{i+1}/{len(video_paths)}] Segment added: {sub.duration:.1f}s (total video: {current_duration:.1f}/{audio_duration:.1f}s)")
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except Exception as sub_e:
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logger.warning(f"[{i+1}/{len(video_paths)}] Error creating subclip from {path} ({segment_duration:.1f}s): {str(sub_e)}")
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continue
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@@ -461,24 +471,53 @@ def crear_video(prompt_type, input_text, musica_file=None):
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raise ValueError("No valid video clips available to create the video.")
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logger.info(f"Concatenating {len(clips)} video clips.")
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-
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if video_base.duration < audio_duration:
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if video_base.duration > audio_duration:
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logger.info(f"Trimming base
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logger.info(f"Final base video duration: {video_base.duration:.2f}s")
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# 6. Handle background music
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logger.info("Processing audio...")
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final_audio = audio_tts
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if musica_file:
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@@ -491,21 +530,29 @@ def crear_video(prompt_type, input_text, musica_file=None):
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musica_audio = AudioFileClip(music_path)
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logger.debug(f"Original music duration: {musica_audio.duration:.2f}s")
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logger.debug(f"Music adjusted to video duration: {
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final_audio = CompositeAudioClip([
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musica_audio.volumex(0.2),
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audio_tts.volumex(1.0)
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])
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logger.info("Audio mix completed (voice + music).")
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except Exception as e:
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logger.warning(f"Error processing background music: {str(e)}", exc_info=True)
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final_audio = audio_tts
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logger.warning("Using voice audio only due to music processing error.")
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if final_audio.duration > video_base.duration:
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final_audio = final_audio.subclip(0, video_base.duration)
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# 7. Create final video
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codec="libx264",
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audio_codec="aac",
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preset="medium",
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logger='bar'
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)
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total_time = (datetime.now() - start_time).total_seconds()
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logger.info(f"VIDEO PROCESS FINISHED | Output: {output_path} | Total time: {total_time:.2f}s")
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# Close main clips
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try:
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video_base.close()
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audio_tts.close()
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if 'musica_audio' in locals() and musica_audio is not None: musica_audio.close()
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video_final.close()
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except Exception as e:
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logger.warning(f"Error closing final clips: {str(e)}")
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return output_path
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except ValueError as ve:
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raise e
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finally:
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logger.info("Starting cleanup of intermediate temporary files...")
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if temp_dir_intermediate and os.path.exists(temp_dir_intermediate):
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final_output_in_temp = os.path.join(temp_dir_intermediate, "final_video.mp4")
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except Exception as e:
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logger.warning(f"Could not delete temporary file {path}: {str(e)}")
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# IMPORTANT: DO NOT remove the temp_dir_intermediate itself.
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# It contains the final video file needed by Gradio.
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logger.info(f"Intermediate temporary directory {temp_dir_intermediate} will persist for Gradio to read the final video.")
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PEXELS_API_KEY = os.environ.get("PEXELS_API_KEY")
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if not PEXELS_API_KEY:
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logger.critical("PEXELS_API_KEY environment variable not found.")
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# Uncomment to force fail if not set:
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# raise ValueError("Pexels API key not configured")
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# Model Initialization
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MODEL_NAME = "datificate/gpt2-small-spanish"
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return []
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def generate_script(prompt, max_length=150):
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logger.info(f"Generando guión | Prompt: '{prompt[:50]}...' | Max length: {max_length}")
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if not tokenizer or not model:
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logger.warning("GPT-2 models not available - Using original prompt as script.")
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return prompt
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final_text += " " + sentences[1].strip() + "."
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final_text = final_text.replace("..", ".")
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logger.info(f"Guion generado (Truncado): '{final_text[:100]}...'")
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return final_text.strip()
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logger.info(f"Guion generado (sin oraciones completas): '{text[:100]}...'")
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return text.strip()
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except Exception as e:
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with requests.get(url, stream=True, timeout=60) as r:
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r.raise_for_status()
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with open(output_path, 'wb') as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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if os.path.exists(output_path) and os.path.getsize(output_path) > 1000:
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logger.info(f"Video downloaded successfully: {output_path} | Size: {os.path.getsize(output_path)} bytes")
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def loop_audio_to_length(audio_clip, target_duration):
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logger.debug(f"Adjusting audio | Current duration: {audio_clip.duration:.2f}s | Target: {target_duration:.2f}s")
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if audio_clip.duration is None or audio_clip.duration <= 0:
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logger.warning("Audio clip has zero or negative duration, cannot loop.")
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return AudioFileClip(filename="")
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logger.debug(f"Creating {loops} audio loops")
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audio_segments = [audio_clip] * loops
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try:
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looped_audio = concatenate_audioclips(audio_segments)
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final_looped_audio = looped_audio.subclip(0, target_duration)
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# Close the temporary concatenated clip
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try: looped_audio.close()
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except: pass
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return final_looped_audio
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except Exception as e:
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logger.error(f"Error concatenating audio clips for looping: {str(e)}", exc_info=True)
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return audio_clip.subclip(0, min(audio_clip.duration, target_duration))
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def extract_visual_keywords_from_script(script_text):
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logger.info("Extracting keywords from script")
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seen_keywords = set()
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for keyword, score in all_keywords:
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formatted_keyword = keyword.lower().replace(" ", "+")
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if formatted_keyword and formatted_keyword not in seen_keywords:
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keywords_list.append(formatted_keyword)
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seen_keywords.add(formatted_keyword)
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if len(keywords_list) >= 5:
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start_time = datetime.now()
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temp_dir_intermediate = None
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audio_tts = None
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musica_audio = None
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video_base = None
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video_final = None
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try:
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# 1. Generate or use script
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if prompt_type == "Generar Guion con IA":
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audio_duration = audio_tts.duration
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logger.info(f"Voice audio duration: {audio_duration:.2f} seconds")
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if audio_duration < 0.5:
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logger.error(f"Voice audio duration ({audio_duration:.2f}s) is too short.")
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raise ValueError("Generated voice audio is too short.")
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# 3. Extract keywords
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logger.info("Extracting keywords...")
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logger.info("Processing and concatenating downloaded videos...")
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clips = []
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current_duration = 0
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min_clip_duration = 0.5
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max_clip_segment = 10.0
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for i, path in enumerate(video_paths):
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if current_duration >= audio_duration + max_clip_segment:
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logger.debug(f"[{i+1}/{len(video_paths)}] Opening clip: {path}")
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clip = VideoFileClip(path)
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if clip.reader is None or clip.duration is None or clip.duration <= 0:
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logger.warning(f"[{i+1}/{len(video_paths)}] Clip {path} seems invalid (reader is None or duration <= 0). Skipping.")
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continue
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remaining_needed = audio_duration - current_duration
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potential_use_duration = min(clip.duration, max_clip_segment)
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clips.append(sub)
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current_duration += sub.duration
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logger.debug(f"[{i+1}/{len(video_paths)}] Segment added: {sub.duration:.1f}s (total video: {current_duration:.1f}/{audio_duration:.1f}s)")
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# sub.close() # Decided against closing subclips explicitly here
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except Exception as sub_e:
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logger.warning(f"[{i+1}/{len(video_paths)}] Error creating subclip from {path} ({segment_duration:.1f}s): {str(sub_e)}")
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continue
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raise ValueError("No valid video clips available to create the video.")
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logger.info(f"Concatenating {len(clips)} video clips.")
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# Use the default "chain" method for simple concatenation
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video_base = concatenate_videoclips(clips) # Removed method="compose"
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logger.info(f"Base video duration after initial concatenation: {video_base.duration:.2f}s")
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# --- REVISED REPETITION LOGIC ---
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if video_base.duration < audio_duration:
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logger.info(f"Base video ({video_base.duration:.2f}s) is shorter than audio ({audio_duration:.2f}s). Repeating...")
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num_full_repeats = int(audio_duration // video_base.duration)
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remaining_duration = audio_duration % video_base.duration
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repeated_clips_list = [video_base] * num_full_repeats
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if remaining_duration > 0:
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try:
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remaining_clip = video_base.subclip(0, remaining_duration)
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repeated_clips_list.append(remaining_clip)
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logger.debug(f"Adding remaining segment: {remaining_duration:.2f}s")
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except Exception as e:
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logger.warning(f"Error creating subclip for remaining duration {remaining_duration:.2f}s: {str(e)}")
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if repeated_clips_list:
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logger.info(f"Concatenating {len(repeated_clips_list)} parts for repetition.")
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video_base_repeated = concatenate_videoclips(repeated_clips_list)
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logger.info(f"Duration of repeated video base: {video_base_repeated.duration:.2f}s")
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try: video_base.close()
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except: pass
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video_base = video_base_repeated
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else:
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logger.error("Failed to create repeated video clips list.")
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pass
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if video_base.duration > audio_duration:
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| 510 |
+
logger.info(f"Trimming video base ({video_base.duration:.2f}s) to match audio duration ({audio_duration:.2f}s).")
|
| 511 |
+
trimmed_video_base = video_base.subclip(0, audio_duration)
|
| 512 |
+
try: video_base.close()
|
| 513 |
+
except: pass
|
| 514 |
+
video_base = trimmed_video_base
|
| 515 |
logger.info(f"Final base video duration: {video_base.duration:.2f}s")
|
| 516 |
|
| 517 |
|
| 518 |
# 6. Handle background music
|
| 519 |
logger.info("Processing audio...")
|
| 520 |
+
|
| 521 |
final_audio = audio_tts
|
| 522 |
|
| 523 |
if musica_file:
|
|
|
|
| 530 |
musica_audio = AudioFileClip(music_path)
|
| 531 |
logger.debug(f"Original music duration: {musica_audio.duration:.2f}s")
|
| 532 |
|
| 533 |
+
musica_audio_looped = loop_audio_to_length(musica_audio, video_base.duration)
|
| 534 |
+
logger.debug(f"Music adjusted to video duration: {musica_audio_looped.duration:.2f}s")
|
| 535 |
+
|
| 536 |
+
try: musica_audio.close()
|
| 537 |
+
except: pass
|
| 538 |
+
musica_audio = musica_audio_looped
|
| 539 |
+
|
| 540 |
+
|
| 541 |
final_audio = CompositeAudioClip([
|
| 542 |
musica_audio.volumex(0.2),
|
| 543 |
audio_tts.volumex(1.0)
|
| 544 |
])
|
| 545 |
logger.info("Audio mix completed (voice + music).")
|
| 546 |
+
|
| 547 |
except Exception as e:
|
| 548 |
logger.warning(f"Error processing background music: {str(e)}", exc_info=True)
|
| 549 |
final_audio = audio_tts
|
| 550 |
logger.warning("Using voice audio only due to music processing error.")
|
| 551 |
|
| 552 |
+
if final_audio.duration is not None and final_audio.duration > video_base.duration:
|
| 553 |
final_audio = final_audio.subclip(0, video_base.duration)
|
| 554 |
+
elif final_audio.duration is not None and final_audio.duration < video_base.duration:
|
| 555 |
+
logger.warning(f"Final audio duration ({final_audio.duration:.2f}s) is less than video base ({video_base.duration:.2f}s).")
|
| 556 |
|
| 557 |
|
| 558 |
# 7. Create final video
|
|
|
|
| 570 |
codec="libx264",
|
| 571 |
audio_codec="aac",
|
| 572 |
preset="medium",
|
| 573 |
+
logger='bar'
|
| 574 |
)
|
| 575 |
|
| 576 |
total_time = (datetime.now() - start_time).total_seconds()
|
| 577 |
logger.info(f"VIDEO PROCESS FINISHED | Output: {output_path} | Total time: {total_time:.2f}s")
|
| 578 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 579 |
return output_path
|
| 580 |
|
| 581 |
except ValueError as ve:
|
|
|
|
| 586 |
raise e
|
| 587 |
finally:
|
| 588 |
logger.info("Starting cleanup of intermediate temporary files...")
|
| 589 |
+
try:
|
| 590 |
+
if audio_tts is not None:
|
| 591 |
+
try: audio_tts.close()
|
| 592 |
+
except: pass
|
| 593 |
+
if musica_audio is not None:
|
| 594 |
+
try: musica_audio.close()
|
| 595 |
+
except: pass
|
| 596 |
+
if video_base is not None:
|
| 597 |
+
try: video_base.close()
|
| 598 |
+
except: pass
|
| 599 |
+
if video_final is not None:
|
| 600 |
+
try: video_final.close()
|
| 601 |
+
except: pass
|
| 602 |
+
except Exception as e:
|
| 603 |
+
logger.warning(f"Error during final clip closing in finally: {str(e)}")
|
| 604 |
+
|
| 605 |
if temp_dir_intermediate and os.path.exists(temp_dir_intermediate):
|
| 606 |
final_output_in_temp = os.path.join(temp_dir_intermediate, "final_video.mp4")
|
| 607 |
|
|
|
|
| 613 |
except Exception as e:
|
| 614 |
logger.warning(f"Could not delete temporary file {path}: {str(e)}")
|
| 615 |
|
|
|
|
|
|
|
| 616 |
logger.info(f"Intermediate temporary directory {temp_dir_intermediate} will persist for Gradio to read the final video.")
|
| 617 |
|
| 618 |
|