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Create main.py
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main.py
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import os
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from dotenv import load_dotenv
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from crewai import Agent, Task, Crew
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from langchain.agents import Tool
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from langchain_community.tools.tavily_search import TavilySearchResults
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load_dotenv()
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os.environ["OPENAI_API_KEY"] = os.getenv('OPENAI_API_KEY')
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os.environ["OPENAI_MODEL_NAME"] = 'gpt-3.5-turbo'
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os.environ["TAVILY_API_KEY"] =os.getenv("TAVILY_API_KEY")
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def setup_agents_and_tasks():
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tavily_tool = Tool(
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name="Intermediate Answer",
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func=TavilySearchResults().run,
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description="Useful for search-based queries",
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)
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sales_rep_agent = Agent(
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role="Sales Representative",
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goal="Identify high-value leads that match our ideal customer profile",
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backstory=(
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"As a part of the dynamic sales team at AI LOVES HR, "
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"your mission is to scour the digital landscape for potential leads."
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),
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allow_delegation=False,
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verbose=True
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)
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lead_sales_rep_agent = Agent(
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role="Lead Sales Representative",
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goal="Nurture leads with personalized, compelling communications",
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backstory=(
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"Within the vibrant ecosystem of AI Loves HR's sales department, "
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"you stand out as the bridge between potential clients and the solutions they need."
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),
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allow_delegation=False,
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verbose=True
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)
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lead_profiling_task = Task(
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description=(
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"Conduct an in-depth analysis of {lead_name}, a company in the {industry} sector "
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"that recently showed interest in our solutions. "
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"Utilize all available data sources to compile a detailed profile."
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),
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expected_output=(
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"A comprehensive report on {lead_name}, including company background, "
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"key personnel, recent milestones, and identified needs."
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),
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tools=[tavily_tool],
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agent=sales_rep_agent,
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)
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personalized_outreach_task = Task(
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description=(
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"Using the insights gathered from the lead profiling report on {lead_name}, "
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"craft a personalized outreach campaign aimed at {key_decision_maker}."
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),
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expected_output=(
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"A series of personalized email drafts tailored to {lead_name}, "
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"specifically targeting {key_decision_maker}."
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),
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tools=[tavily_tool],
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agent=lead_sales_rep_agent
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)
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crew = Crew(
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agents=[sales_rep_agent, lead_sales_rep_agent],
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tasks=[lead_profiling_task, personalized_outreach_task],
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verbose=2,
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memory=True
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)
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return crew
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def kickoff_crew(crew, inputs):
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return crew.kickoff(inputs=inputs)
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