├── app_gem.py
├── appp.py
└── requirements.txt


/app_gem.py:
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 1 | import os
 2 | from langchain_google_genai import ChatGoogleGenerativeAI
 3 | from crewai import Agent, Task, Crew, Process
 4 | from langchain.tools import DuckDuckGoSearchRun
 5 | 
 6 | 
 7 | # Set gemini pro as llm
 8 | llm = ChatGoogleGenerativeAI(model="gemini-pro",
 9 |                              verbose = True,
10 |                              temperature = 0.5,
11 |                              google_api_key="")
12 | 
13 | 
14 | #create searches
15 | tool_search = DuckDuckGoSearchRun()
16 | 
17 | # Define Agents
18 | email_author = Agent(
19 |     role='Professional Email Author',
20 |     goal='Craft concise and engaging emails',
21 |     backstory='Experienced in writing impactful marketing emails.',
22 |     verbose=True,
23 |     allow_delegation=False,
24 |     llm=llm,
25 |     tools=[
26 |         tool_search
27 |       ]
28 | )
29 | marketing_strategist = Agent(
30 |     role='Marketing Strategist',
31 |     goal='Lead the team in creating effective cold emails',
32 |     backstory='A seasoned Chief Marketing Officer with a keen eye for standout marketing content.',
33 |     verbose=True,
34 |     allow_delegation=True,
35 |     llm=llm
36 | )
37 | 
38 | content_specialist = Agent(
39 |     role='Content Specialist',
40 |     goal='Critique and refine email content',
41 |     backstory='A professional copywriter with a wealth of experience in persuasive writing.',
42 |     verbose=True,
43 |     allow_delegation=False,
44 |     llm=llm
45 | )
46 | 
47 | # Define Task
48 | email_task = Task(
49 |     description='''1. Generate two distinct variations of a cold email promoting a video editing solution. 
50 |     2. Evaluate the written emails for their effectiveness and engagement.
51 |     3. Scrutinize the emails for grammatical correctness and clarity.
52 |     4. Adjust the emails to align with best practices for cold outreach. Consider the feedback 
53 |     provided to the marketing_strategist.
54 |     5. Revise the emails based on all feedback, creating two final versions.''',
55 |     agent=marketing_strategist  # The Marketing Strategist is in charge and can delegate
56 | )
57 | 
58 | 
59 | # Create a Single Crew
60 | email_crew = Crew(
61 |     agents=[email_author, marketing_strategist, content_specialist],
62 |     tasks=[email_task],
63 |     verbose=True,
64 |     process=Process.sequential
65 | )
66 | 
67 | # Execution Flow
68 | print("Crew: Working on Email Task")
69 | emails_output = email_crew.kickoff()
70 | 


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/appp.py:
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 1 | import os
 2 | from crewai import Agent, Task, Crew, Process
 3 | from langchain.tools import DuckDuckGoSearchRun
 4 | 
 5 | 
 6 | os.environ["HUGGINGFACEHUB_API_TOKEN"] = ""
 7 | 
 8 | from langchain_community.llms import HuggingFaceHub
 9 | repo_id = "mistralai/Mistral-7B-Instruct-v0.2"  # See https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads for some other options
10 | llm = HuggingFaceHub(
11 |     repo_id=repo_id, model_kwargs={"temperature": 0.5, "max_tokens":4096}
12 | )
13 | 
14 | search_tool = DuckDuckGoSearchRun()
15 | 
16 | # Define Agents
17 | email_author = Agent(
18 |     role='Professional Email Author',
19 |     goal='Craft concise and engaging emails',
20 |     backstory='Experienced in writing impactful marketing emails.',
21 |     verbose=True,
22 |     allow_delegation=False,
23 |     llm=llm,
24 |     tools=[
25 |         search_tool
26 |       ]
27 | )
28 | marketing_strategist = Agent(
29 |     role='Marketing Strategist',
30 |     goal='Lead the team in creating effective cold emails',
31 |     backstory='A seasoned Chief Marketing Officer with a keen eye for standout marketing content.',
32 |     verbose=True,
33 |     allow_delegation=True,
34 |     llm=llm
35 | )
36 | 
37 | content_specialist = Agent(
38 |     role='Content Specialist',
39 |     goal='Critique and refine email content',
40 |     backstory='A professional copywriter with a wealth of experience in persuasive writing.',
41 |     verbose=True,
42 |     allow_delegation=False,
43 |     llm=llm
44 | )
45 | 
46 | # Define Task
47 | email_task = Task(
48 |     description='''1. Generate two distinct variations of a cold email promoting a video editing solution. 
49 |     2. Evaluate the written emails for their effectiveness and engagement.
50 |     3. Scrutinize the emails for grammatical correctness and clarity.
51 |     4. Adjust the emails to align with best practices for cold outreach. Consider the feedback 
52 |     provided to the marketing_strategist.
53 |     5. Revise the emails based on all feedback, creating two final versions.''',
54 |     agent=marketing_strategist  # The Marketing Strategist is in charge and can delegate
55 | )
56 | 
57 | 
58 | # Create a Single Crew
59 | email_crew = Crew(
60 |     agents=[email_author, marketing_strategist, content_specialist],
61 |     tasks=[email_task],
62 |     verbose=True,
63 |     process=Process.sequential
64 | )
65 | 
66 | # Execution Flow
67 | print("Crew: Working on Email Task")
68 | emails_output = email_crew.kickoff()


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/requirements.txt:
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1 | crewai
2 | duckduckgo-search
3 | huggingface_hub
4 | langchain_google_genai


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