https://github.com/zeeshier/genai-posts-generator
An intuitive application that generates LinkedIn posts styled after popular content creators. Select a creator, choose a topic and length, and instantly generate posts that match the creator's unique voice and style. Built with Streamlit, this app utilizes LLM integration via Groq Cloud to produce engaging LinkedIn content. Perfect for social media
https://github.com/zeeshier/genai-posts-generator
ai ai-agents ai-development artificial-intelligence generative-ai
Last synced: 25 days ago
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An intuitive application that generates LinkedIn posts styled after popular content creators. Select a creator, choose a topic and length, and instantly generate posts that match the creator's unique voice and style. Built with Streamlit, this app utilizes LLM integration via Groq Cloud to produce engaging LinkedIn content. Perfect for social media
- Host: GitHub
- URL: https://github.com/zeeshier/genai-posts-generator
- Owner: Zeeshier
- License: mit
- Created: 2024-11-08T17:41:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-14T17:49:15.000Z (over 1 year ago)
- Last Synced: 2025-03-03T01:19:13.129Z (over 1 year ago)
- Topics: ai, ai-agents, ai-development, artificial-intelligence, generative-ai
- Language: Python
- Homepage:
- Size: 98.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ✨ LinkedIn Post Generator
This project is a **LinkedIn Post Generator** application that uses an LLM to generate posts based on a selected LinkedIn creator’s style, specific topic, and post length. This app is built using **Streamlit** and allows users to generate LinkedIn posts that align with the style of popular content creators.
*Here is a screenshot of the LinkedIn Post Generator app.*
## 🚀 Features
- Generate posts according to **Topic (Tags)** and **Length** selected by the user.
- Choose from multiple LinkedIn content creators (Irfan Malik, Hisham Sarwar, Usman Asif) with each creator's unique post style.
- Intuitive interface and LinkedIn-style icon integration.
- Leverages LLMs for generating post content.
## 🔧 Installation
1. **Clone the repository**:
```bash
git clone https://github.com/Zeeshier/GenAI-Posts-Generator.git
cd GenAI-Posts-Generator
```
2. **Install dependencies**:
```bash
pip install -r requirements.txt
```
3. **Create a `.env` file**:
To use the LLM for post generation, you'll need to add a **Groq Cloud API Key** to the `.env` file:
```plaintext
GROQ_CLOUD_API_KEY=your_api_key_here
```
4. **Run the application**:
```bash
streamlit run app.py
```
## 🛠️ Usage
1. **Select Creator**: Choose a LinkedIn creator to generate posts in their style.
2. **Select Topic and Length**: Choose the desired topic and length for the post.
3. **Generate**: Click on the **Generate Post** button to view the generated content.
## 📂 Project Structure
- **app.py**: Main Streamlit application file.
- **fewshot.py**: Handles loading and filtering posts based on selected tags and length.
- **postgenerate.py**: Module for generating post content based on input.
- **Data/**: Folder containing processed JSON files for each creator.