github - @jaimeneto85 linkedin - @jaimeflneto

This project is a simple implementation of AI suggestions for ads. The app check the best results, verify the best values and generate a new csv file with the suggestions. The app is a Streamlit app, so you can run it locally. It create suggestion from current ads, set the best values and generate a new csv file with the suggestions.

1. Clone the repository

2. Install the dependencies

3. Run the project

• Python 3.12+

• pipenv

• VS Code

• devContainer

• Docker

• OpenAI API Key

• Execute and build project from devContainer

• Create a .env file with the following variables (see .env.example):

• OPENAI_API_KEY=your_openai_api_key

• ENGINE_NAME=your_engine_name

• Build the project

• Run the project

• pipenv install

• pip install streamlit

• streamlit run app.py

• Go to Google Ads - go to campaigns - ads - see details of the ad - export the ad to a csv file

• Go to http://localhost:8501

• Upload the csv file

• The app will generate a new csv file with the suggestions

• You can download the new csv file