https://github.com/yashodatta15/personal_cold_email_generator

Cold email generator using Llama3.1 LLM, Langchain, Chromadb and Streamlit
https://github.com/yashodatta15/personal_cold_email_generator

chromadb langchain llm streamlit

Last synced: about 2 months ago
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Cold email generator using Llama3.1 LLM, Langchain, Chromadb and Streamlit

• Host: GitHub
• URL: https://github.com/yashodatta15/personal_cold_email_generator
• Owner: Yashodatta15
• License: mit
• Created: 2025-02-06T13:56:28.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-02-06T14:24:14.000Z (over 1 year ago)
• Last Synced: 2025-02-06T15:27:32.163Z (over 1 year ago)
• Topics: chromadb, langchain, llm, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 388 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 📧 Cold Mail Generator

Cold email generator 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. 

![img.png](imgs/img.png)

## Architecture Diagram

![img.png](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

   ```