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@@ -79,15 +79,12 @@ class VideoAnalyzer:
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return model
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async def analyze_video(self, model, questions, sample_data):
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- chat_session = model.start_chat(
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- history=[
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- ]
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- )
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+ chat_session = model.start_chat(history=[])
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message_content = {
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"parts": [
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self.video_file,
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"你是一个专业的视频分析师，负责根据访问的视频文件回答用户的所有问题\\n"+questions +
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- "输出返回格式样例:\n"+ str(sample_data)
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+ "输出返回格式样例:\n" + str(sample_data)
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]
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}
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@@ -114,36 +111,36 @@ async def main(video_path):
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# 创建缓存模型
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model =await analyzer.create_cache()
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sample_data = {
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- "基础信息": {
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- "视觉/音乐/文字": "",
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- "内容选题": "",
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- "视频主题": ""
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+ "一、基础信息": {
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+ "1.视觉/音乐/文字": "",
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+ "2.内容选题": "",
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+ "3.视频主题": ""
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},
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- "主体和场景": {
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- "视频主体": "",
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- "视频场景": []
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+ "二、主体和场景": {
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+ "1.视频主体": "",
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+ "2.视频场景": []
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},
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- "情感与风格": {},
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- "视频传播性与观众": {
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- "片尾引导": {},
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- "传播性判断": "",
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- "观众画像": {}
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+ "三、情感与风格": {},
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+ "四、视频传播性与观众": {
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+ "1.片尾引导": {},
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+ "2.传播性判断": "",
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+ "3.观众画像": {}
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},
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- "音画细节": {
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- "音频细节": {},
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- "视频水印": {},
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- "视频字幕": {},
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- "视频口播": ""
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+ "五、音画细节": {
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+ "1.音频细节": {},
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+ "2.视频水印": {},
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+ "3.视频字幕": {},
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+ "4.视频口播": ""
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},
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- "人物与场景": {
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- "知名人物": {},
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- "人物年龄段": "",
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- "场景描述": []
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+ "六、人物与场景": {
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+ "1.知名人物": {},
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+ "2.人物年龄段": "",
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+ "3.场景描述": []
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},
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- "时效性与分类": {
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- "时效性": {},
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- "视频一级分类": "",
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- "二级分类": ""
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+ "七、时效性与分类": {
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+ "1.时效性": {},
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+ "2.视频一级分类": "",
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+ "3.二级分类": ""
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}
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}
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@@ -365,5 +362,5 @@ if __name__ == "__main__":
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os.environ["http_proxy"] = proxy_url
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os.environ["https_proxy"] = proxy_url
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# video_path = 'http://temp.yishihui.com/longvideo/transcode/video/vpc/20240926/66510681PACx7zsp2wDBHJlicE.mp4'
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- video_path = 'http://temp.yishihui.com/jq_oss/video/2024092618393680952.mp4'
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+ video_path = 'http://temp.yishihui.com/longvideo/transcode/video/vpc/20240605/68754804SJz5E9JNe5hAdSkRwF.mp4'
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asyncio.run(main(video_path))
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