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project-genai-cold-email-generator

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

파일 탐색기

최종 버전 다운로드 (.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

# 설치 가이드

1. 코드 내려받기

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

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd project-genai-cold-email-generator

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// 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.