AdsGPT: Getting quick insights into digital marketing ads

About AdsGPT

AI app to find real-time that gives quick insights into latest changes in digital marketingss' ads who are spending a lot of money (and thus taking more data-led decisions) " "It uses Pathway’s LLM App features to build real-time LLM(Large Language Model)-enabled data pipeline in Python and join data from multiple input sources.

End User

The primary end users of AdsGPT are Digital Marketer, Marketing Leaders and Companies interested in gaining insights into the advertisements published by their competitors.

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Business Value

Maximizing Revenues

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Utilization of the LLM App

Ad copies have unstructured data / patterns, and advertisers need easy recommendations in natural language without a huge learning curve.

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Code sample

The code establishes a connection with the database and generates a JSONL file whenever there are updates in the database. The variable "last_known_row_count" monitors these updates to ensure real-time generation of the JSON file.

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How to run the project

Example only supports Unix-like systems (such as Linux, macOS, BSD). If you are a Windows user, we highly recommend leveraging Windows Subsystem for Linux (WSL) or Dockerize the app to run as a container.

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Prerequisites

1. Make sure that Python 3.10 or above installed on your machine.
2. Download and Install Pip to manage project packages.
3. Create an OpenAI account and generate a new API Key: To access the OpenAI API, you will need to create an API Key. You can do this by logging into the OpenAI website and navigating to the API Key management page.

Then, follow the easy steps to install and get started using the sample app.

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Step 1: Clone the repository

This is done with the git clone command followed by the URL of the repository:

git clone https://github.com/atulkrishna-4100/AdsGPT_Pathway_project.git

Next, navigate to the project folder:

cd Ads_Pathway_project

Step 2: Set environment variables

Create .env file in the root directory of the project, copy and paste the below config, and replace the {OPENAI_API_KEY} configuration value with your key.

OPENAI_API_TOKEN={OPENAI_API_KEY}
HOST=0.0.0.0
PORT=8080
EMBEDDER_LOCATOR=text-embedding-ada-002
EMBEDDING_DIMENSION=1536
MODEL_LOCATOR=gpt-3.5-turbo
MAX_TOKENS=200
TEMPERATURE=0.0

Step 3: Install the app dependencies

Install the required packages:

pip install --upgrade -r requirements.txt

Step 4 (Optional): Create a new virtual environment

Create a new virtual environment in the same folder and activate that environment:

python -m venv pw-env && source pw-env/bin/activate

Step 5: Run and start to use it

python main.py

Step 6: Run Streamlit UI for file upload

You can run the UI separately by navigating to cd advertisements/ui and running Streamlit app streamlit run app.py command. It connects to the Discounts backend API automatically and you will see the UI frontend is running http://localhost:8501/ on a browser: