https://github.com/shaadclt/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.
https://github.com/shaadclt/llm-driven-marketing-assistant

googlepalm langchain streamlit

Last synced: 3 days ago
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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.

• Host: GitHub
• URL: https://github.com/shaadclt/llm-driven-marketing-assistant
• Owner: shaadclt
• Created: 2023-12-14T16:31:57.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-22T12:18:18.000Z (about 1 year ago)
• Last Synced: 2024-12-07T15:12:12.140Z (about 2 months ago)
• Topics: googlepalm, langchain, streamlit
• Language: Python
• Homepage: https://marketing-assistant.streamlit.app/
• Size: 17.6 KB
• Stars: 5
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LLM-Driven Marketing Assistant

![image](https://github.com/shaadclt/LLM-Driven-Marketing-Assistant/assets/98437584/278aa46e-7b03-497c-a1aa-0928136c4718)

## 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:

   ```bash

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

   ```

2. Navigate to the project directory:

   ```bash

   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:

   ```bash

   streamlit run app.py

   ```

5. Access the application in your web browser at [http://localhost:8501](http://localhost:8501).