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@@ -170,7 +170,7 @@ class ConsumptionRecommend(object):
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"【 搬运&改造效率工具失败通知 】")
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return
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logger.info(f"[处理] {url}视频下载成功")
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- if data["title_category"] == "AI标题" or data["trailer_share"] == "AI标题":
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+ if data["title_category"] == "AI标题" or str(data["trailer_share"]) == "AI标题":
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title = GPT4oMini.get_ai_mini_title(
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original_title if data["title_category"] == "AI标题" else data["title_category"])
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else:
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@@ -226,8 +226,8 @@ class ConsumptionRecommend(object):
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video_path = FFmpeg.video_crop(video_path, file_path)
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if data["video_clipping_time"]: # 判断是否需要指定视频时长
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video_path = FFmpeg.video_ggduration(video_path, file_path, data["video_clipping_time"])
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- if data['trailer_share']:
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- prompt = Material.get_propmt_data(data['trailer_share'])
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+ if str(data['trailer_share']):
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+ prompt = Material.get_propmt_data(str(data['trailer_share']))
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pw_srt_text = GPT4oMini.get_ai_mini_pw(title, prompt)
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voice = data['trailer_share_audio']
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if voice:
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@@ -288,7 +288,7 @@ class ConsumptionRecommend(object):
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"【 搬运&改造效率工具失败通知 】")
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return
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logger.info(f"[处理] 数据片尾音频下载成功")
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- if "AI片尾引导" in data['trailer_share']:
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+ if "AI片尾引导" in str(data['trailer_share']):
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jpg_path = FFmpeg.video_png(video_path, file_path) # 生成视频最后一帧jpg
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if not os.path.exists(jpg_path) or os.path.getsize(jpg_path) == 0:
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data["transform_rule"] = "仅改造"
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