├── .DS_Store
├── .env.example
├── .gitignore
├── README.md
└── cold_email.py


/.DS_Store:
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https://raw.githubusercontent.com/bdcorps/cold-email-ai/7331d241e5d2885cfe34a1d2504aaf45125a26e5/.DS_Store


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/.env.example:
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1 | OPENAI_API_KEY=
2 | ACTIVELOOP_TOKEN=
3 | ACTIVELOOP_ORG=
4 | SERPAPI_KEY=
5 | ZAPIER_NLA_API_KEY=
6 | 


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/.gitignore:
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1 | .env
2 | 


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/README.md:
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 1 | # cold-email-ai
 2 | 
 3 | Run with:
 4 | 
 5 | ```
 6 | python3 -m streamlit run cold_email.py
 7 | ```
 8 | 
 9 | Demo: https://twitter.com/thisissukh_/status/1649193701972000769
10 | 


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/cold_email.py:
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 1 | from dotenv import load_dotenv
 2 | 
 3 | load_dotenv()
 4 | 
 5 | import streamlit as st
 6 | from langchain import PromptTemplate
 7 | from langchain.agents import AgentType, initialize_agent, load_tools
 8 | from langchain.agents.agent_toolkits import ZapierToolkit
 9 | from langchain.llms import OpenAI
10 | from langchain.utilities.zapier import ZapierNLAWrapper
11 | 
12 | llm = OpenAI(temperature=0)
13 | zapier = ZapierNLAWrapper()
14 | 
15 | toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)
16 | llm = OpenAI(temperature=0.9)
17 | 
18 | tools = load_tools(["serpapi"], llm=llm)
19 | 
20 | agent = initialize_agent(tools + toolkit.get_tools(), llm, agent="zero-shot-react-description", verbose=True)
21 | 
22 | st.title('Send cold emails with AI')
23 | 
24 | product = st.text_input('Name of the product youre selling: ') # Launchman
25 | function = st.text_input('What does the product do: ') # Automate your content marketing
26 | prospect = st.text_input('Who is the person youre selling to: ') # Sukh from Launchman
27 | 
28 | if st.button('Do the magic!'):
29 |   template = """
30 |   # You are Marko, a cold email outreach expert selling {product} with the function {function}.
31 | 
32 |   Search for a person named {prospect} and craft a cold email with 3 paragraphs that contains introduction about them, how {product} can help them, and book a meeting. Do not label the paragraphs, make sure to start a new line after each paragraph. Send it as email to: sunnyashiin@gmail.com."""
33 | 
34 |   prompt = PromptTemplate(
35 |       input_variables=["product", "function", "prospect"],
36 |       template=template,
37 |   )
38 | 
39 |   formattedPrompt = prompt.format(product=product, function=function, prospect=prospect)
40 | 
41 |   agent.run(formattedPrompt)
42 | 


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