https://github.com/chanmeng666/emoji-story-generator
【Sprinkle some star dust on this repo!⭐️】An interactive web application that generates creative stories using AI based on user-selected emoji combinations. Powered by Streamlit and the Zephyr language model.
https://github.com/chanmeng666/emoji-story-generator
artificial-intelligence creative-writing emoji huggingface interactive nlp python story-generation streamlit web-application
Last synced: 3 months ago
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【Sprinkle some star dust on this repo!⭐️】An interactive web application that generates creative stories using AI based on user-selected emoji combinations. Powered by Streamlit and the Zephyr language model.
- Host: GitHub
- URL: https://github.com/chanmeng666/emoji-story-generator
- Owner: ChanMeng666
- License: apache-2.0
- Created: 2024-12-22T10:28:24.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-06-28T08:25:55.000Z (5 months ago)
- Last Synced: 2025-06-28T09:31:34.646Z (5 months ago)
- Topics: artificial-intelligence, creative-writing, emoji, huggingface, interactive, nlp, python, story-generation, streamlit, web-application
- Language: Python
- Homepage: https://huggingface.co/spaces/ChanMeng666/emoji-story-generator
- Size: 203 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
[](#)
# 🚀 Emoji Story Generator
AI-Powered Creative Storytelling Platform
An innovative storytelling application that leverages cutting-edge AI technology to transform emoji selections into engaging narratives.
Supports 8 emoji categories with 200+ emojis, HuggingFace Zephyr-7b model integration, and a community-driven story library.
One-click **FREE** deployment of your creative story generator.
[🌟 Live Demo](https://huggingface.co/spaces/ChanMeng666/emoji-story-generator) · [📖 Documentation](#-getting-started) · [🐛 Issues](https://github.com/ChanMeng666/emoji-story-generator/issues) · [💡 Features](#-key-features)
[](https://huggingface.co/spaces/ChanMeng666/emoji-story-generator)
[![][github-release-shield]][github-release-link]
[![][python-shield]][python-link]
[![][streamlit-shield]][streamlit-link]
[![][huggingface-shield]][huggingface-link]
[![][github-contributors-shield]][github-contributors-link]
[![][github-forks-shield]][github-forks-link]
[![][github-stars-shield]][github-stars-link]
[![][github-issues-shield]][github-issues-link]
[![][github-license-shield]][github-license-link]
**Share Emoji Story Generator**
[![][share-x-shield]][share-x-link]
[![][share-reddit-shield]][share-reddit-link]
[![][share-linkedin-shield]][share-linkedin-link]
🌟 Revolutionizing creative storytelling through AI and emojis. Built for writers, educators, and creative minds.
## 📸 Project Screenshots
> [!TIP]
> Experience the intuitive interface and powerful AI story generation capabilities.
Main Interface - Emoji Selection and Story Generation
AI Story Generation in Action
📱 More Screenshots
Coming soon - Mobile responsive design and additional UI features
## 🎬 Demo Video
> [!NOTE]
> Watch how the AI transforms simple emoji selections into compelling stories.
https://github.com/user-attachments/assets/ecaf4494-7e51-4b86-9e79-7548957d0bcd
*Experience the magic of AI-powered storytelling*
**Tech Stack Badges:**
> [!IMPORTANT]
> This project demonstrates modern AI integration with user-friendly interfaces. It combines Python's Streamlit framework with HuggingFace's state-of-the-art language models to provide creative storytelling capabilities. Features include emoji categorization, real-time story generation, community voting, and persistent story storage.
📑 Table of Contents
#### TOC
- [🚀 Emoji Story GeneratorAI-Powered Creative Storytelling Platform](#-emoji-story-generatorai-powered-creative-storytelling-platform)
- [📸 Project Screenshots](#-project-screenshots)
- [🎬 Demo Video](#-demo-video)
- [TOC](#toc)
- [](#)
- [🌟 Introduction](#-introduction)
- [✨ Key Features](#-key-features)
- [`1` AI-Powered Story Generation](#1-ai-powered-story-generation)
- [`2` Intelligent Emoji Categorization](#2-intelligent-emoji-categorization)
- [`*` Additional Features](#-additional-features)
- [🛠️ Tech Stack](#️-tech-stack)
- [🏗️ Architecture](#️-architecture)
- [System Architecture](#system-architecture)
- [Component Structure](#component-structure)
- [Data Flow](#data-flow)
- [⚡️ Performance](#️-performance)
- [Performance Metrics](#performance-metrics)
- [🚀 Getting Started](#-getting-started)
- [Prerequisites](#prerequisites)
- [Quick Installation](#quick-installation)
- [HuggingFace API Setup](#huggingface-api-setup)
- [🛳 Deployment](#-deployment)
- [Cloud Deployment Options](#cloud-deployment-options)
- [Local Development Setup](#local-development-setup)
- [Environment Variables](#environment-variables)
- [📖 Usage Guide](#-usage-guide)
- [Basic Usage](#basic-usage)
- [Advanced Features](#advanced-features)
- [API Integration](#api-integration)
- [🔌 Integrations](#-integrations)
- [⌨️ Development](#️-development)
- [Local Development Setup](#local-development-setup-1)
- [Code Structure](#code-structure)
- [Adding New Features](#adding-new-features)
- [🤝 Contributing](#-contributing)
- [How to Contribute](#how-to-contribute)
- [Contribution Ideas](#contribution-ideas)
- [Code Style Guidelines](#code-style-guidelines)
- [📄 License](#-license)
- [👥 Team](#-team)
- [Project Maintainer](#project-maintainer)
####
## 🌟 Introduction
We are passionate developers creating the next generation of creative AI applications. By combining the universal language of emojis with advanced language models, we've built a platform that democratizes storytelling and unleashes creativity for users of all ages.
Whether you're an educator looking for engaging classroom activities, a parent seeking creative bedtime stories, or a writer battling creative blocks, Emoji Story Generator transforms simple emoji selections into rich, coherent narratives. The application is designed with accessibility and ease of use in mind, making AI-powered creativity accessible to everyone.
> [!NOTE]
> - Python 3.7+ required
> - HuggingFace API token required for AI story generation
> - Internet connection required for model inference
> - Modern web browser recommended for optimal experience
| [![][demo-shield-badge]][demo-link] | No installation required! Visit our live demo to start creating stories instantly. |
| :------------------------------------ | :------------------------------------------------------------------------------------------------------------- |
| [![][community-shield-badge]][community-link] | Join our growing community of storytellers and creative minds! |
> [!TIP]
> **⭐ Star us** to receive all release notifications and support the project's continued development!
## ✨ Key Features
### `1` AI-Powered Story Generation
Experience cutting-edge storytelling with HuggingFace's Zephyr-7b model. Our sophisticated prompt engineering ensures that every generated story follows a clear narrative structure with compelling characters, engaging plots, and satisfying conclusions.
**Advanced AI Capabilities:**
- 🧠 **Intelligent Narrative Structure**: Automatic beginning-middle-end story construction
- 🎭 **Character Development**: Dynamic character creation based on emoji context
- 📖 **Coherent Storytelling**: Advanced language model ensures logical flow and readability
- 🎯 **Context Awareness**: Smart emoji interpretation for meaningful story integration
**Story Quality Features:**
- ✅ **Family-Friendly Content**: All stories are suitable for all ages
- ✅ **Complete Narratives**: No cliffhangers or incomplete endings
- ✅ **Optimized Length**: 100-150 words perfect for quick reading
- ✅ **Professional Editing**: Automatic cleanup of AI-generated content
### `2` Intelligent Emoji Categorization
Navigate through our carefully curated collection of 200+ emojis organized into 8 intuitive categories. Each category is designed to inspire different types of stories and creative directions.
**Category System:**
- 😀 **Faces & Emotions** (36 emojis): Express feelings and character personalities
- 🐶 **Animals** (24 emojis): Bring wildlife and pets into your stories
- 🌸 **Plants** (22 emojis): Add natural elements and scenic beauty
- 🍎 **Food** (48 emojis): Include culinary adventures and dining experiences
- ⚽ **Activities & Sports** (24 emojis): Create action-packed scenarios
- 🚗 **Transportation** (24 emojis): Enable journey and adventure narratives
- 🏠 **Places & Buildings** (24 emojis): Set scenes in diverse locations
- 📱 **Objects & Symbols** (36 emojis): Add props and symbolic elements
**Smart Selection Features:**
- 🎯 **Maximum 5 Emojis**: Optimal balance for coherent storytelling
- 🔄 **Easy Management**: One-click clear and selection management
- 📱 **Responsive Design**: Seamless experience across all devices
- 🎨 **Visual Feedback**: Intuitive interface with real-time selection display
### `*` Additional Features
Beyond core story generation, the platform includes community and management features:
- [x] 💾 **Automatic Story Persistence**: All generated stories are automatically saved
- [x] 🗳️ **Community Voting System**: Like and promote your favorite stories
- [x] 📊 **Story Ranking**: Popular stories rise to the top based on community votes
- [x] 🎨 **Clean Interface**: Minimalist design focused on creativity
- [x] ⚡ **Real-time Generation**: Fast story creation with visual feedback
- [x] 🔄 **Session Management**: Maintain selections and state across interactions
- [x] 📱 **Mobile Responsive**: Optimized for all screen sizes
- [x] 🌐 **Web-Based**: No installation required, accessible anywhere
> ✨ More features are continuously being added based on community feedback and usage patterns.
[![][back-to-top]](#readme-top)
## 🛠️ Tech Stack
Python 3.7+
Streamlit 1.22
HuggingFace API
JSON Storage
Environment Config
**Core Technologies:**
- **Framework**: Streamlit 1.22.0 for rapid web app development
- **Language**: Python 3.7+ with modern async/await patterns
- **AI Model**: HuggingFace Zephyr-7b-beta for story generation
- **HTTP Client**: Requests 2.28.1 for reliable API communication
- **Configuration**: Python-dotenv 0.19.2 for environment management
**Data & Storage:**
- **Local Storage**: JSON file-based persistence for story data
- **Session Management**: Streamlit session state for user interactions
- **Configuration**: Environment variables for secure API key management
**Deployment Options:**
- **Cloud Platforms**: HuggingFace Spaces, Streamlit Cloud
- **Local Development**: Python virtual environment
- **Containerization**: Docker support for consistent deployments
> [!TIP]
> Each technology was selected for its reliability, community support, and ease of deployment across various platforms.
## 🏗️ Architecture
### System Architecture
> [!TIP]
> This architecture supports scalable deployment and easy maintenance, making it suitable for both personal use and educational environments.
```mermaid
graph TB
subgraph "Frontend Layer"
A[Streamlit UI] --> B[Emoji Categories]
B --> C[Story Display]
C --> D[Voting System]
end
subgraph "Application Layer"
E[Story Generator] --> F[AI Integration]
F --> G[Data Management]
G --> H[Session State]
end
subgraph "External Services"
I[HuggingFace API]
J[Zephyr-7b Model]
end
subgraph "Data Layer"
K[JSON Storage]
L[Environment Config]
end
A --> E
F --> I
I --> J
G --> K
E --> L
```
### Component Structure
```
emoji-story-generator/
├── app.py # Main Streamlit application
├── requirements.txt # Python dependencies
├── stories_data.json # Story persistence layer
├── .env # Environment configuration
├── public/
│ └── emoji-story-generator.svg # Project branding
├── README.md # Project documentation
└── LICENSE # Open source license
```
### Data Flow
```mermaid
sequenceDiagram
participant U as User
participant S as Streamlit UI
participant A as App Logic
participant H as HuggingFace API
participant D as Data Store
U->>S: Select Emojis
S->>A: Process Selection
U->>S: Generate Story
S->>A: Trigger Generation
A->>H: Send Prompt + Emojis
H->>A: Return Generated Story
A->>D: Save Story + Metadata
A->>S: Display Story
S->>U: Show Results
U->>S: Vote on Story
S->>A: Update Vote Count
A->>D: Persist Vote Data
```
## ⚡️ Performance
### Performance Metrics
**Response Times:**
- ⚡ **Emoji Selection**: < 100ms instant response
- 🤖 **AI Story Generation**: 15-30 seconds (depends on HuggingFace API)
- 💾 **Story Saving**: < 200ms local JSON write
- 🗳️ **Voting Updates**: < 150ms real-time updates
**Scalability Features:**
- 📊 **Efficient State Management**: Streamlit session state optimization
- 🔄 **Smart Caching**: Automatic emoji category caching
- 📱 **Responsive Design**: Optimized for all device sizes
- 🚀 **Fast Loading**: Minimal dependencies for quick startup
**Reliability Metrics:**
- 🛡️ **Error Handling**: Comprehensive API error management
- 🔄 **Retry Logic**: Automatic retry for failed API calls
- 💾 **Data Integrity**: Safe JSON file operations with error recovery
- ⚠️ **User Feedback**: Clear error messages and loading indicators
> [!NOTE]
> Performance metrics may vary based on HuggingFace API availability and network conditions.
## 🚀 Getting Started
### Prerequisites
> [!IMPORTANT]
> Ensure you have the following before starting:
- Python 3.7 or higher ([Download](https://python.org/downloads/))
- HuggingFace account and API token ([Sign up](https://huggingface.co/))
- Git for version control ([Download](https://git-scm.com/))
- Modern web browser (Chrome, Firefox, Safari, Edge)
### Quick Installation
**1. Clone Repository**
```bash
git clone https://github.com/ChanMeng666/emoji-story-generator.git
cd emoji-story-generator
```
**2. Set Up Virtual Environment**
```bash
# Create virtual environment
python -m venv emoji-story-env
# Activate virtual environment
# On Windows:
emoji-story-env\Scripts\activate
# On macOS/Linux:
source emoji-story-env/bin/activate
```
**3. Install Dependencies**
```bash
pip install -r requirements.txt
```
**4. Environment Configuration**
```bash
# Create environment file
echo "HUGGINGFACE_API_TOKEN=your_token_here" > .env
# Replace 'your_token_here' with your actual HuggingFace API token
```
**5. Launch Application**
```bash
streamlit run app.py
```
🎉 **Success!** Open [http://localhost:8501](http://localhost:8501) to start creating stories!
### HuggingFace API Setup
1. **Create Account**: Visit [HuggingFace](https://huggingface.co/) and create a free account
2. **Generate Token**: Go to Settings → Access Tokens → New Token
3. **Copy Token**: Copy the generated token
4. **Set Environment**: Add token to `.env` file as shown above
> [!TIP]
> Your HuggingFace token provides access to the Zephyr-7b model for story generation. Keep it secure and never commit it to version control.
## 🛳 Deployment
### Cloud Deployment Options
**HuggingFace Spaces (Recommended)**
[](https://huggingface.co/new-space?template=ChanMeng666/emoji-story-generator)
1. Fork this repository
2. Create a new HuggingFace Space
3. Connect your GitHub repository
4. Add your `HUGGINGFACE_API_TOKEN` in Space settings
5. Deploy automatically
**Manual Cloud Deployment:**
| Streamlit Cloud | Railway | Render |
| :----------------------------------: | :----------------------------------------------: | :---------------------------------------------: |
| [![][deploy-streamlit-button]][deploy-streamlit-link] | [![][deploy-railway-button]][deploy-railway-link] | [![][deploy-render-button]][deploy-render-link] |
### Local Development Setup
```bash
# Clone and setup
git clone https://github.com/ChanMeng666/emoji-story-generator.git
cd emoji-story-generator
# Install in development mode
pip install -r requirements.txt
# Set up environment
cp .env.example .env
# Edit .env with your API token
# Run with auto-reload
streamlit run app.py --server.runOnSave true
```
### Environment Variables
| Variable | Description | Required | Example |
|----------|-------------|----------|---------|
| `HUGGINGFACE_API_TOKEN` | HuggingFace API access token | ✅ | `hf_xxxxxxxxxxxxx` |
> [!WARNING]
> Never commit your API tokens to version control. Use environment variables or secure secret management in production.
## 📖 Usage Guide
### Basic Usage
**Creating Your First Story:**
1. **Launch Application** - Open the app in your web browser
2. **Select Emojis** - Browse through 8 categories and click up to 5 emojis
3. **Generate Story** - Click "Generate Story" and wait for AI processing
4. **Read & Share** - Enjoy your unique story and share with others
5. **Vote & Explore** - Like stories from other users and explore the library
### Advanced Features
**Story Library Management:**
- 📚 **Browse Stories**: View all generated stories sorted by popularity
- 🗳️ **Community Voting**: Like your favorite stories to boost their ranking
- 📊 **Story Analytics**: See vote counts and story statistics
**Emoji Selection Tips:**
- 🎯 **Diverse Categories**: Mix emojis from different categories for richer stories
- 🎭 **Character Focus**: Include emotion emojis to define character personalities
- 🌍 **Setting Elements**: Add location and object emojis for detailed scenes
- ⚖️ **Balanced Selection**: Use 3-5 emojis for optimal story coherence
**Story Quality Optimization:**
- 🔄 **Multiple Attempts**: Try different emoji combinations for varied narratives
- 💡 **Creative Combinations**: Experiment with unexpected emoji pairings
- 📝 **Story Feedback**: Use the voting system to identify popular story patterns
### API Integration
For developers wanting to integrate the story generation functionality:
```python
import requests
import os
def generate_story(emojis, api_token):
"""Generate story using HuggingFace API"""
emoji_text = ' '.join(emojis)
prompt = f"""Create a short story using these emojis: {emoji_text}
Instructions:
1. Write a coherent story (100-150 words)
2. Include clear beginning, middle, and end
3. Make it family-friendly
4. Incorporate all provided emojis naturally
"""
headers = {
"Authorization": f"Bearer {api_token}",
"Content-Type": "application/json"
}
payload = {
"inputs": prompt,
"parameters": {
"max_new_tokens": 250,
"temperature": 0.7,
"top_p": 0.9,
"do_sample": True,
"return_full_text": False
}
}
response = requests.post(
"https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta",
headers=headers,
json=payload,
timeout=60
)
return response.json()
# Example usage
story = generate_story(["😊", "🐶", "🏠"], os.getenv("HUGGINGFACE_API_TOKEN"))
```
## 🔌 Integrations
Current integrations and future roadmap:
| Integration | Status | Description | Documentation |
|-------------|--------|-------------|---------------|
| **HuggingFace API** | ✅ Active | Zephyr-7b model for story generation | [HF Docs](https://huggingface.co/docs/api-inference/) |
| **Streamlit Cloud** | ✅ Active | Free cloud deployment platform | [Deploy Guide](#deployment) |
| **JSON Storage** | ✅ Active | Local file-based story persistence | Built-in |
| **Environment Config** | ✅ Active | Secure API key management | [Setup Guide](#environment-configuration) |
| **Google Analytics** | 🔶 Planned | Usage analytics and insights | Coming Soon |
| **User Authentication** | 🔶 Planned | Personal story libraries | Coming Soon |
| **Export Features** | 🔶 Planned | PDF/Text story exports | Coming Soon |
> 📊 Total planned integrations: [**10+**](#integrations)
## ⌨️ Development
### Local Development Setup
**Development Environment:**
```bash
# Clone repository
git clone https://github.com/ChanMeng666/emoji-story-generator.git
cd emoji-story-generator
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Set up environment
echo "HUGGINGFACE_API_TOKEN=your_token" > .env
# Run development server
streamlit run app.py --server.runOnSave true
```
**Development Scripts:**
```bash
# Development
streamlit run app.py # Start development server
streamlit run app.py --server.port 8502 # Custom port
# Code Quality
python -m py_compile app.py # Syntax check
python -m doctest app.py # Test docstrings
# Deployment
pip freeze > requirements.txt # Update dependencies
git add . && git commit -m "Update" # Version control
```
### Code Structure
**Main Application (`app.py`):**
- 🎯 **Emoji Categories**: 8 categories with 200+ emojis
- 🤖 **AI Integration**: HuggingFace API communication
- 💾 **Data Management**: JSON-based story persistence
- 🎨 **UI Components**: Streamlit interface components
- 🗳️ **Voting System**: Community engagement features
**Key Functions:**
- `generate_story_with_ai()`: Core story generation logic
- `query_huggingface()`: API communication handler
- `load_stories()` / `save_stories_to_file()`: Data persistence
- `main()`: Application entry point and UI rendering
### Adding New Features
**1. New Emoji Categories:**
```python
# Add to EMOJI_CATEGORIES dictionary
EMOJI_CATEGORIES["New Category"] = [
"🆕", "📝", "✨", "🎉" # Your emojis here
]
# Update English translations
ENGLISH_CATEGORIES["New Category"] = EMOJI_CATEGORIES["New Category"]
```
**2. Enhanced Story Formatting:**
```python
def format_story(story, emojis):
"""Add custom story formatting"""
formatted = f"🌟 {story} 🌟\n\n"
formatted += f"✨ Featured Emojis: {' '.join(emojis)}"
return formatted
```
**3. Additional AI Parameters:**
```python
# Modify generation parameters in query_huggingface()
"parameters": {
"max_new_tokens": 300, # Longer stories
"temperature": 0.8, # More creativity
"top_p": 0.95, # Better coherence
"repetition_penalty": 1.1 # Reduce repetition
}
```
## 🤝 Contributing
We welcome contributions from developers, storytellers, and creative minds! Here's how you can help improve the project:
### How to Contribute
**1. Fork & Clone:**
```bash
git clone https://github.com/YOUR_USERNAME/emoji-story-generator.git
cd emoji-story-generator
```
**2. Create Feature Branch:**
```bash
git checkout -b feature/amazing-new-feature
```
**3. Make Changes:**
- Follow Python PEP 8 style guidelines
- Add comments for complex logic
- Test your changes locally
- Update documentation if needed
**4. Submit Pull Request:**
- Provide clear description of changes
- Include screenshots for UI changes
- Reference related issues
- Ensure code passes basic syntax checks
### Contribution Ideas
**🎨 UI/UX Improvements:**
- Enhanced emoji selection interface
- Better story display formatting
- Mobile responsiveness improvements
- Dark/light theme support
**🤖 AI Enhancements:**
- Alternative AI model integrations
- Custom prompt templates
- Story length options
- Genre-specific generation
**📊 Features:**
- User authentication system
- Story export functionality
- Advanced filtering options
- Analytics dashboard
**🛠️ Technical:**
- Database integration
- API rate limiting
- Caching improvements
- Performance optimizations
### Code Style Guidelines
- Use descriptive variable names
- Add docstrings for functions
- Keep functions focused and small
- Handle errors gracefully
- Include type hints where appropriate
```python
def generate_story_with_ai(emojis: list[str]) -> str | None:
"""
Generate a story using AI based on selected emojis.
Args:
emojis: List of emoji strings to incorporate into story
Returns:
Generated story string or None if generation fails
"""
# Implementation here
```
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
**Open Source Benefits:**
- ✅ Commercial use allowed
- ✅ Modification allowed
- ✅ Distribution allowed
- ✅ Private use allowed
**Attribution:**
While not required, attribution is appreciated when using this project as a base for your own applications.
## 👥 Team
### Project Maintainer
**Chan Meng** - Full-Stack Developer & AI Enthusiast
- 
LinkedIn: [chanmeng666](https://www.linkedin.com/in/chanmeng666/)
- 
GitHub: [ChanMeng666](https://github.com/ChanMeng666)
- 
Email: [chanmeng.dev@gmail.com](mailto:chanmeng.dev@gmail.com)
- 
Website: [chanmeng.live](https://2d-portfolio-eta.vercel.app/)
**Specializations:**
- 🤖 AI/ML Integration and Prompt Engineering
- 🎨 Creative Application Development
- 📱 Cross-Platform Web Applications
- 🚀 Rapid Prototyping and MVP Development
---
🎭 Transforming Emojis into Stories 📚
Empowering creativity through AI and imagination
⭐ **Star us on GitHub** • 🎨 **Try the Demo** • 🐛 **Report Issues** • 💡 **Suggest Features** • 🤝 **Contribute Code**
**Made with ❤️ by creative minds for creative minds**
---
[back-to-top]: https://img.shields.io/badge/-BACK_TO_TOP-151515?style=flat-square
[demo-link]: https://huggingface.co/spaces/ChanMeng666/emoji-story-generator
[community-link]: https://github.com/ChanMeng666/emoji-story-generator/discussions
[github-issues-link]: https://github.com/ChanMeng666/emoji-story-generator/issues
[github-stars-link]: https://github.com/ChanMeng666/emoji-story-generator/stargazers
[github-forks-link]: https://github.com/ChanMeng666/emoji-story-generator/forks
[github-contributors-link]: https://github.com/ChanMeng666/emoji-story-generator/contributors
[github-release-link]: https://github.com/ChanMeng666/emoji-story-generator/releases
[github-license-link]: https://github.com/ChanMeng666/emoji-story-generator/blob/main/LICENSE
[github-release-shield]: https://img.shields.io/github/v/release/ChanMeng666/emoji-story-generator?color=369eff&labelColor=black&logo=github&style=flat-square
[python-shield]: https://img.shields.io/badge/Python-3.7+-blue.svg?style=flat-square&logo=python&logoColor=white
[streamlit-shield]: https://img.shields.io/badge/Streamlit-1.22.0-FF4B4B.svg?style=flat-square&logo=streamlit&logoColor=white
[huggingface-shield]: https://img.shields.io/badge/HuggingFace-Zephyr--7b-FFD21E.svg?style=flat-square&logo=huggingface&logoColor=black
[github-contributors-shield]: https://img.shields.io/github/contributors/ChanMeng666/emoji-story-generator?color=c4f042&labelColor=black&style=flat-square
[github-forks-shield]: https://img.shields.io/github/forks/ChanMeng666/emoji-story-generator?color=8ae8ff&labelColor=black&style=flat-square
[github-stars-shield]: https://img.shields.io/github/stars/ChanMeng666/emoji-story-generator?color=ffcb47&labelColor=black&style=flat-square
[github-issues-shield]: https://img.shields.io/github/issues/ChanMeng666/emoji-story-generator?color=ff80eb&labelColor=black&style=flat-square
[github-license-shield]: https://img.shields.io/badge/license-MIT-white?labelColor=black&style=flat-square
[demo-shield-badge]: https://img.shields.io/badge/🎯%20TRY%20DEMO-LIVE-55b467?labelColor=black&logo=streamlit&style=for-the-badge
[community-shield-badge]: https://img.shields.io/badge/💬%20JOIN-COMMUNITY-5865F2?labelColor=black&logo=github&logoColor=white&style=for-the-badge
[share-x-link]: https://x.com/intent/tweet?hashtags=AI,storytelling,emoji,creativity&text=Check%20out%20this%20amazing%20AI-powered%20emoji%20story%20generator!&url=https%3A%2F%2Fgithub.com%2FChanMeng666%2Femoji-story-generator
[share-reddit-link]: https://www.reddit.com/submit?title=AI-Powered%20Emoji%20Story%20Generator&url=https%3A%2F%2Fgithub.com%2FChanMeng666%2Femoji-story-generator
[share-linkedin-link]: https://linkedin.com/sharing/share-offsite/?url=https://github.com/ChanMeng666/emoji-story-generator
[share-x-shield]: https://img.shields.io/badge/-share%20on%20x-black?labelColor=black&logo=x&logoColor=white&style=flat-square
[share-reddit-shield]: https://img.shields.io/badge/-share%20on%20reddit-black?labelColor=black&logo=reddit&logoColor=white&style=flat-square
[share-linkedin-shield]: https://img.shields.io/badge/-share%20on%20linkedin-black?labelColor=black&logo=linkedin&logoColor=white&style=flat-square
[deploy-streamlit-link]: https://share.streamlit.io/deploy
[deploy-railway-link]: https://railway.app/new/template?template=https://github.com/ChanMeng666/emoji-story-generator
[deploy-render-link]: https://render.com/deploy?repo=https://github.com/ChanMeng666/emoji-story-generator
[deploy-streamlit-button]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
[deploy-railway-button]: https://railway.app/button.svg
[deploy-render-button]: https://render.com/images/deploy-to-render-button.svg
[python-link]: https://python.org
[streamlit-link]: https://streamlit.io
[huggingface-link]: https://huggingface.co
