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import datetime |
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import os |
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import re |
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import shutil |
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from shortGPT.api_utils.pexels_api import getBestVideo |
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from shortGPT.audio import audio_utils |
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from shortGPT.audio.audio_duration import get_asset_duration |
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from shortGPT.audio.voice_module import VoiceModule |
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from shortGPT.config.asset_db import AssetDatabase |
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from shortGPT.config.languages import Language |
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from shortGPT.editing_framework.editing_engine import (EditingEngine, |
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EditingStep) |
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from shortGPT.editing_utils import captions |
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from shortGPT.engine.abstract_content_engine import AbstractContentEngine |
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from shortGPT.gpt import gpt_editing, gpt_translate, gpt_yt |
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class ContentVideoEngine(AbstractContentEngine): |
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def __init__(self, voiceModule: VoiceModule, script: str, background_music_name="", id="", |
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watermark=None, isVerticalFormat=False, language: Language = Language.ENGLISH): |
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super().__init__(id, "general_video", language, voiceModule) |
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if not id: |
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if (watermark): |
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self._db_watermark = watermark |
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if background_music_name: |
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self._db_background_music_name = background_music_name |
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self._db_script = script |
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self._db_format_vertical = isVerticalFormat |
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self.stepDict = { |
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1: self._generateTempAudio, |
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2: self._speedUpAudio, |
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3: self._timeCaptions, |
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4: self._generateVideoSearchTerms, |
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5: self._generateVideoUrls, |
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6: self._chooseBackgroundMusic, |
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7: self._prepareBackgroundAssets, |
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8: self._prepareCustomAssets, |
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9: self._editAndRenderShort, |
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10: self._addMetadata |
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} |
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def _generateTempAudio(self): |
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if not self._db_script: |
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raise NotImplementedError("generateScript method must set self._db_script.") |
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if (self._db_temp_audio_path): |
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return |
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self.verifyParameters(text=self._db_script) |
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script = self._db_script |
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if (self._db_language != Language.ENGLISH.value): |
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self._db_translated_script = gpt_translate.translateContent(script, self._db_language) |
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script = self._db_translated_script |
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self._db_temp_audio_path = self.voiceModule.generate_voice( |
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script, self.dynamicAssetDir + "temp_audio_path.wav") |
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def _speedUpAudio(self): |
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if (self._db_audio_path): |
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return |
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self.verifyParameters(tempAudioPath=self._db_temp_audio_path) |
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self._db_audio_path = self._db_temp_audio_path |
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return |
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self._db_audio_path = audio_utils.speedUpAudio( |
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self._db_temp_audio_path, self.dynamicAssetDir+"audio_voice.wav") |
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def _timeCaptions(self): |
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self.verifyParameters(audioPath=self._db_audio_path) |
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whisper_analysis = audio_utils.audioToText(self._db_audio_path) |
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max_len = 15 |
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if not self._db_format_vertical: |
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max_len = 30 |
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self._db_timed_captions = captions.getCaptionsWithTime( |
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whisper_analysis, maxCaptionSize=max_len) |
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def _generateVideoSearchTerms(self): |
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self.verifyParameters(captionsTimed=self._db_timed_captions) |
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self._db_timed_video_searches = gpt_editing.getVideoSearchQueriesTimed(self._db_timed_captions) |
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def _generateVideoUrls(self): |
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timed_video_searches = self._db_timed_video_searches |
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self.verifyParameters(captionsTimed=timed_video_searches) |
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timed_video_urls = [] |
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used_links = [] |
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for (t1, t2), search_terms in timed_video_searches: |
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url = "" |
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for query in reversed(search_terms): |
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url = getBestVideo(query, orientation_landscape=not self._db_format_vertical, used_vids=used_links) |
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if url: |
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used_links.append(url.split('.hd')[0]) |
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break |
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timed_video_urls.append([[t1, t2], url]) |
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self._db_timed_video_urls = timed_video_urls |
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def _chooseBackgroundMusic(self): |
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if self._db_background_music_name: |
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self._db_background_music_url = AssetDatabase.get_asset_link(self._db_background_music_name) |
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def _prepareBackgroundAssets(self): |
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self.verifyParameters(voiceover_audio_url=self._db_audio_path) |
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if not self._db_voiceover_duration: |
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self.logger("Rendering short: (1/4) preparing voice asset...") |
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self._db_audio_path, self._db_voiceover_duration = get_asset_duration( |
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self._db_audio_path, isVideo=False) |
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def _prepareCustomAssets(self): |
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self.logger("Rendering short: (3/4) preparing custom assets...") |
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pass |
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def _editAndRenderShort(self): |
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self.verifyParameters( |
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voiceover_audio_url=self._db_audio_path) |
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outputPath = self.dynamicAssetDir+"rendered_video.mp4" |
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if not (os.path.exists(outputPath)): |
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self.logger("Rendering short: Starting automated editing...") |
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videoEditor = EditingEngine() |
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videoEditor.addEditingStep(EditingStep.ADD_VOICEOVER_AUDIO, { |
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'url': self._db_audio_path}) |
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if (self._db_background_music_url): |
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videoEditor.addEditingStep(EditingStep.ADD_BACKGROUND_MUSIC, {'url': self._db_background_music_url, |
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'loop_background_music': self._db_voiceover_duration, |
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"volume_percentage": 0.08}) |
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for (t1, t2), video_url in self._db_timed_video_urls: |
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videoEditor.addEditingStep(EditingStep.ADD_BACKGROUND_VIDEO, {'url': video_url, |
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'set_time_start': t1, |
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'set_time_end': t2}) |
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if (self._db_format_vertical): |
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caption_type = EditingStep.ADD_CAPTION_SHORT_ARABIC if self._db_language == Language.ARABIC.value else EditingStep.ADD_CAPTION_SHORT |
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else: |
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caption_type = EditingStep.ADD_CAPTION_LANDSCAPE_ARABIC if self._db_language == Language.ARABIC.value else EditingStep.ADD_CAPTION_LANDSCAPE |
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for (t1, t2), text in self._db_timed_captions: |
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videoEditor.addEditingStep(caption_type, {'text': text.upper(), |
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'set_time_start': t1, |
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'set_time_end': t2}) |
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videoEditor.renderVideo(outputPath, logger= self.logger if self.logger is not self.default_logger else None) |
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self._db_video_path = outputPath |
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def _addMetadata(self): |
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self._db_yt_title, self._db_yt_description = gpt_yt.generate_title_description_dict(self._db_script) |
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now = datetime.datetime.now() |
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date_str = now.strftime("%Y-%m-%d_%H-%M-%S") |
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newFileName = f"videos/{date_str} - " + \ |
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re.sub(r"[^a-zA-Z0-9 '\n\.]", '', self._db_yt_title) |
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shutil.move(self._db_video_path, newFileName+".mp4") |
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with open(newFileName+".txt", "w", encoding="utf-8") as f: |
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f.write( |
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f"---Youtube title---\n{self._db_yt_title}\n---Youtube description---\n{self._db_yt_description}") |
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self._db_video_path = newFileName+".mp4" |
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self._db_ready_to_upload = True |
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