An open API service indexing awesome lists of open source software.

https://github.com/mayank-9031/cold-email-generator

Cold email generator for services company using groq, langchain and streamlit. It allows users to input the URL of a company's careers page. The tool then extracts job listings from that page and generates personalized cold emails. These emails include relevant portfolio links sourced from a vector database, based on the specific job descriptions..
https://github.com/mayank-9031/cold-email-generator

generative-ai groq-api langchain llama python streamlit

Last synced: about 2 months ago
JSON representation

Cold email generator for services company using groq, langchain and streamlit. It allows users to input the URL of a company's careers page. The tool then extracts job listings from that page and generates personalized cold emails. These emails include relevant portfolio links sourced from a vector database, based on the specific job descriptions..

Awesome Lists containing this project

README

          

# 📧 Cold Mail Generator
Cold email generator for services company using groq, langchain and streamlit. It allows users to input the URL of a company's careers page. The tool then extracts job listings from that page and generates personalized cold emails. These emails include relevant portfolio links sourced from a vector database, based on the specific job descriptions.

**Imagine a scenario:**

- Nike needs a Principal Software Engineer and is spending time and resources in the hiring process, on boarding, training etc
- Iota Analytics is Software Development company can provide a dedicated software development engineer to Nike. So, the business development executive (Mayank) from Iota Analytics is going to reach out to Nike via a cold email.

## Set-up
1. To get started we first need to get an API_KEY from here: https://console.groq.com/keys. Inside `app/.env` update the value of `GROQ_API_KEY` with the API_KEY you created.

2. To get started, first install the dependencies using:
```commandline
pip install -r requirements.txt
```

3. Run the streamlit app:
```commandline
streamlit run app/main.py
```