Update 'README.md'

README.md

@@ -1,7 +1,10 @@
 # crewAI
 
+
+
 ## Usage
 
+
 ```
 pip install crewai
 pip install duckduckgo-search
@@ -14,8 +17,9 @@ os.environ["OPENAI_API_KEY"] = "YOUR KEY"
 from langchain.tools import DuckDuckGoSearchRun
 search_tool = DuckDuckGoSearchRun()
 
+# 定义一个拥有 DuckDuckGoSearchRun 搜索归纳功能的 Agent
 researcher = Agent(
-  role='Senior Research Analyst',
+  role='Senior Research Analyst', # 高级研究分析师
   goal='Uncover cutting-edge developments in AI and data science in',
   backstory="""You work at a leading tech think tank.
   Your expertise lies in identifying emerging trends.
@@ -23,12 +27,12 @@ researcher = Agent(
   actionable insights.""",
   verbose=True,
   allow_delegation=False,
-  tools=[search_tool],
-  llm=ChatOpenAI(model_name="gpt-3.5", temperature=0.7)
+  tools=[search_tool]
 )
 
+# 定义一个
 writer = Agent(
-  role='Tech Content Strategist',
+  role='Tech Content Strategist', # 技术内容策略师
   goal='Craft compelling content on tech advancements',
   backstory="""You are a renowned Content Strategist, known for
   your insightful and engaging articles.
@@ -38,7 +42,7 @@ writer = Agent(
   # (optional) llm=ollama_llm
 )
 
-# Create tasks for your agents
+# 任务一，通过 DuckDuckGoSearchRun 搜索引擎归纳关键词
 task1 = Task(
   description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
   Identify key trends, breakthrough technologies, and potential industry impacts.
@@ -46,6 +50,7 @@ task1 = Task(
   agent=researcher
 )
 
+# 任务二，基于任务一的归纳，写一篇博客
 task2 = Task(
   description="""Using the insights provided, develop an engaging blog
   post that highlights the most significant AI advancements.
@@ -55,14 +60,14 @@ task2 = Task(
   agent=writer
 )
 
-# 多个agent，多个task，最后返回结果
+# 定义
 crew = Crew(
   agents=[researcher, writer],
   tasks=[task1, task2],
   verbose=2, # You can set it to 1 or 2 to different logging levels
 )
 
-# Get your crew to work!
+# 执行
 result = crew.kickoff()
 
 print("######################")