To-Do List Application

This project is a web-based To-Do List application that integrates Flask and Streamlit. It allows users to add, view, update, and delete to-do items. The application uses SQLite for data storage.

Features

• Add new to-do items
• View all to-do items
• Update existing to-do items
• Delete to-do items
• Search for to-do items by title

Technologies Used

• Flask
• Streamlit
• SQLite
• SQLAlchemy
• Bootstrap (for styling)

Getting Started

Prerequisites

• Python 3.7 or higher
• pip package installer

Installation

1. Clone the repository:

   git clone https://github.com/saloni0212/todo-list-app.git
   cd todo-list-app

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

Running the Application

1. Set up the database:

   python

   from app import db
   db.create_all()
   exit()

2. Run the Flask application:

   flask run

3. Run the Streamlit application:

   streamlit run app.py

4. Open your web browser and navigate to http://localhost:8501 to access the Streamlit interface.

Deployment

Deploy on Render

1. Create a Procfile with the following content:

   web: sh setup.sh && streamlit run app.py
   

2. Create a setup.sh file with the following content:

   #!/bin/bash
   

Install dependencies

pip install -r requirements.txt

Set Streamlit to run on port 8000 (the default Render port)

echo "
[server] headless = true port = 8000 enableCORS = false " > ~/.streamlit/config.toml ```

3. Make the script executable:

   chmod +x setup.sh

4. Ensure the app.run() line in app.py looks like this:

   if __name__ == "__main__":
       app.run(host='0.0.0.0', port=8000, debug=True)

5. Push the changes to your GitHub repository.

6. Go to Render and create a new web service, connecting it to your GitHub repository.

7. Configure the service:

   • Name: Choose a name for your service.
   • Build Command: Leave it empty (Render will use pip install -r requirements.txt).
   • Start Command: Render will use the Procfile.
   • Environment: Set to Python 3.
   • Region: Choose a region close to your users.

8. Click "Create Web Service" to deploy your application.

Usage

Navigate to the Streamlit interface at http://localhost:8501 or the URL provided by Render to start using the application.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes or improvements.