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project-genai-cold-email-generator

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Cold email generator using Llama3.1 LLM, Langchain, Chromadb and Streamlit

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Download Latest Version (.zip)

- - my_portfolio.csv
- .env
- chains.py
- main.py
- portfolio.py
- utils.py
- architecture.png
- img.png
.gitignore
email_generator.ipynb
LICENSE
my_portfolio.csv
README.md
requirements.txt
tutorial_chromadb.ipynb
tutorial_groq.ipynb

# Installation Guide

1. Get the code

git clone https://github.com/codebasics/project-genai-cold-email-generator

Downloads the entire project code from GitHub to your computer.

cd project-genai-cold-email-generator

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

// repository documentation

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# 📧 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
- Atliq is Software Development company can provide a dedicated software development engineer to Nike. So, the business development executive (Mohan) from Atliq is going to reach out to Nike via a cold email.

![img.png](https://raw.githubusercontent.com/codebasics/project-genai-cold-email-generator/main/imgs/img.png)

## Architecture Diagram
![img.png](https://raw.githubusercontent.com/codebasics/project-genai-cold-email-generator/main/imgs/architecture.png)

## 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
   ```

Copyright (C) Codebasics Inc. All rights reserved.

**Additional Terms:**
This software is licensed under the MIT License. However, commercial use of this software is strictly prohibited without prior written permission from the author. Attribution must be given in all copies or substantial portions of the software.