🌦️ Weather Data Forecast

This repository contains the development of a Facebook Prophet model to forecast the average temperature in Valencia (Spain).

📁 Project Structure

• app.py: Main script.
• config.py: File where the API Key is to be stored.
• utils.py: Utility functions for data processing and modeling.
• variables.csv: File with the description of each variable in the dataset.
• requirements.txt: List of dependencies required to run the project.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/jmudy/weather-data-forecast.git

2. Navigate to the project directory:

   cd weather-data-forecast

3. Create and activate a virtual environment (optional but recommended):

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

4. Install the dependencies:

   pip install -r requirements.txt

5. Get your own API Key on the AEMET website:

   Enter the following link and request an API Key. Once you get it in your email you have to replace it in the config.py file.

🚀 Usage

1. Run the Streamlit application:

   streamlit run app.py

2. Open your web browser and go to http://localhost:8501 to interact with the application.