| import streamlit as st | |
| def home(): | |
| st.markdown(""" | |
| # Face Recognition Web App | |
| A web application using face recognition in Python with Streamlit. | |
| ## Introduction | |
| This project utilizes the face recognition Python module to build a web app powered by Streamlit. It allows users to perform face recognition tasks interactively. | |
| ## Features | |
| - Face detection and recognition | |
| - Streamlit for a user-friendly web interface | |
| ## Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git clone https://github.com/CrimsonREwind/face-recognition-web-app.git | |
| cd face_recognition | |
| ``` | |
| 2. Install dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 3. Run the Streamlit app: | |
| ```bash | |
| streamlit run app.py | |
| ``` | |
| Visit `http://localhost:8501` in your browser to access the web app. | |
| ## Usage | |
| - Open the web app in your browser. | |
| - You can use register page to register your face in database | |
| - You can use login page to see if user is registered or not | |
| - All the activities like login, register will be stored in log file | |
| ## Contributing | |
| Feel free to contribute to the project! If you find bugs, have feature requests, or want to improve the code, follow these steps: | |
| 1. Fork the repository. | |
| 2. Create a new branch: `git checkout -b feature/bugfix-your-feature`. | |
| 3. Commit your changes: `git commit -m 'Add some feature'`. | |
| 4. Push to the branch: `git push origin feature/bugfix-your-feature`. | |
| 5. Submit a pull request. | |
| """) | |