Welcome to StreamlitApp! This repository contains an awesome curated collection of real-world Streamlit applications that showcase the power and versatility of Streamlit in creating impactful and user-friendly apps.
A smart web scraper that uses AI to extract information from websites based on user prompts.
Key Features:
- User-friendly interface for inputting website URLs and scraping prompts
- Utilizes AI models for intelligent scraping
- Displays results in JSON format
Tech Stack:
- Streamlit
- Custom AI scraping library (scrapegraphai)
- Ollama models
A real-time cricket score tracker that fetches and displays live scores from Cricbuzz.
Key Features:
- Continuously updates live cricket scores
- Sends desktop notifications for score updates
- Clean and simple user interface
Tech Stack:
- Streamlit
- BeautifulSoup for web scraping
- Plyer for desktop notifications
To run these Streamlit apps locally, follow these steps:
-
Clone the repository:
git clone https://github.com/Abhishek-yadv/StreamlitApp.git -
Navigate to the project directory:
cd StreamlitApp -
Install the required dependencies (you may want to use a virtual environment):
pip install -r requirements.txt -
Run the desired app:
streamlit run AIWebScraperAgent/main.pyor
streamlit run LiveCricketApp/main.py
Contributions are welcome! If you have a Streamlit app you'd like to add to this collection, please feel free to open a pull request.
This project is open source and available under the MIT License.
Special thanks to the Streamlit team for creating such an amazing tool for building data applications.
Made with ❤️ by Abhishek Yadav