新功能: - 创建AI聊天助手组件(AIChatWidget) - 支持文字+图片多模态对话 - 集成Gemini AI API - 支持图片编辑和内容生成 - 实时对话历史管理 - 优雅的UI设计,支持黑夜模式 技术实现: - 后端API代理Gemini API(/api/ai-chat) - 支持最多5张图片上传 - 流式响应处理 - 对话历史管理 - Base64图片处理 配置: - 在.env中添加Gemini API配置 - GEMINI_API_KEY - GEMINI_API_BASE_URL - GEMINI_MODEL 替换原弹幕功能,提供更强大的AI助手体验!
51 lines
1.2 KiB
Python
Executable File
51 lines
1.2 KiB
Python
Executable File
# coding:utf-8
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from __future__ import print_function
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import json
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from volcengine.vedit.VEditService import VEditService
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if __name__ == '__main__':
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edit_service = VEditService()
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# call below method if you dont set ak and sk in $HOME/.vcloud/config
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# edit_service.set_ak('ak')
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# edit_service.set_sk('sk')
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body = {}
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body["EditParam"] = {
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"Upload": {
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"Uploader": "your uploader",
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"VideoName": "your video name"
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},
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"Output": {
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"Fps": 25,
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"Height": 720,
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"Quality": "medium",
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"Width": 1280
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},
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"Segments": [{
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"BackGround": "0xFFFFFFFF",
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"Duration": 3,
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"Elements": [],
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"Volume": 1
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}],
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"GlobalElements": []
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}
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body["Priority"] = 0
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body["CallbackArgs"] = "your callback args"
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body["CallbackUri"] = "your callback uri"
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body = json.dumps(body)
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resp = edit_service.submit_direct_edit_task_async(body)
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print(resp)
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print("****")
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body = {}
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body["ReqIds"] = ["your req id 1", "your req id 2"]
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body = json.dumps(body)
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resp = edit_service.get_direct_edit_result(body)
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print(resp)
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