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!
63 lines
3.5 KiB
Python
Executable File
63 lines
3.5 KiB
Python
Executable File
# coding=utf-8
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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import time
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from volcengine.tls.TLSService import TLSService
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from volcengine.tls.tls_requests import CreateProjectRequest, CreateTopicRequest, DeleteTopicRequest, \
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DeleteProjectRequest, CreateConsumerGroupRequest, DeleteConsumerGroupRequest, DescribeConsumerGroupsRequest
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if __name__ == '__main__':
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# 初始化客户端,推荐通过环境变量动态获取火山引擎密钥等身份认证信息,以免AccessKey硬编码引发数据安全风险。详细说明请参考https://www.volcengine.com/docs/6470/1166455
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# 使用STS时,ak和sk均使用临时密钥,且设置VOLCENGINE_TOKEN;不使用STS时,VOLCENGINE_TOKEN部分传空
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endpoint = os.environ["VOLCENGINE_ENDPOINT"]
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region = os.environ["VOLCENGINE_REGION"]
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access_key_id = os.environ["VOLCENGINE_ACCESS_KEY_ID"]
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access_key_secret = os.environ["VOLCENGINE_ACCESS_KEY_SECRET"]
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# 实例化TLS客户端
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tls_service = TLSService(endpoint, access_key_id, access_key_secret, region)
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now = str(int(time.time()))
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# 创建日志项目
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create_project_request = CreateProjectRequest(project_name="project-name-" + now, region=region,
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description="project-description")
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create_project_response = tls_service.create_project(create_project_request)
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project_id = create_project_response.get_project_id()
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print("Successfully create project, project id is: {} ".format(project_id))
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# 创建日志主题
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# 请根据您的需要,填写project_id、topic_name、ttl、shard_count和description等参数
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# CreateTopic API的请求参数规范请参阅 https://www.volcengine.com/docs/6470/112180
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create_topic_request = CreateTopicRequest(topic_name="topic-name-" + now, project_id=project_id,
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ttl=3650, description="topic-description", shard_count=2)
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create_topic_response = tls_service.create_topic(create_topic_request)
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topic_id = create_topic_response.get_topic_id()
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print("Successfully create topic, topic id is: {} ".format(topic_id))
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# 创建消费者组
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consumer_group = "test-consumer-group-" + now
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create_consumer_group_request = CreateConsumerGroupRequest(project_id, consumer_group, topic_id_list=[topic_id],
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heartbeat_ttl=10, ordered_consume=True)
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tls_service.create_consumer_group(create_consumer_group_request)
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print("Successfully create consumer group, group is: {} ".format(consumer_group))
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# 查询消费者组
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describe_consumer_groups_request = DescribeConsumerGroupsRequest(project_id)
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describe_consumer_groups_response = tls_service.describe_consumer_groups(describe_consumer_groups_request)
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print("Successfully describe consumer group, count is: {} ".format(len(describe_consumer_groups_response.consumer_groups)))
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# 删除消费者组
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tls_service.delete_consumer_group(DeleteConsumerGroupRequest(project_id, consumer_group))
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print("Successfully delete consumer group, group is: {} ".format(consumer_group))
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# 删除topic
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tls_service.delete_topic(DeleteTopicRequest(topic_id))
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print("Successfully delete topic, topic id is: {} ".format(topic_id))
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# 删除日志项目
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tls_service.delete_project(DeleteProjectRequest(project_id))
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print("Successfully delete project, project id is: {} ".format(project_id)) |