/LLM-Driven-Marketing-Assistant

This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.

Primary LanguagePython

LLM-Driven Marketing Assistant

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Overview

This project is a Streamlit-based application that utilizes a language model (LLM - Language Model) to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group (Kids, Adults, or Senior Citizens).

Features

  • Dynamic Content Generation: The application dynamically generates marketing content using a language model tailored to specific age groups.
  • Example-Based Templates: Examples are provided for each age group to guide the content generation process.
  • Streamlit Interface: The user interacts with the application through a user-friendly Streamlit interface.

Getting Started

Prerequisites

  • Python
  • Install the required packages by running: pip install -r requirements.txt

Usage

  1. Clone the repository:

    git clone https://github.com/shaadclt/LLM-Driven-Marketing-Assistant.git

  2. Navigate to the project directory:

    cd LLM-Driven-Marketing-Assistant

  3. Set up your environment variable:

    Update the values in the '.env' file, especially the 'GOOGLE_API_KEY' required for the GooglePalm language model.

  4. Run the application:

    streamlit run app.py

  5. Access the application in your web browser at http://localhost:8501.