Weather-Driven Outfit Assistant

Overview

This Python project leverages the OpenWeatherMap API and OpenAI's GPT-3.5 model to provide personalized clothing recommendations based on the current weather conditions. The script fetches weather data, utilizes GPT-3.5 for outfit suggestions, and sends the consolidated advice via email.

Prerequisites

Before running the script, ensure you have the following dependencies installed:

• Python 3.x
• OpenAI Python library (openai)
• Requests library (requests)
• Python's built-in subprocess, sys, ssl, and smtplib libraries
• dotenv for handling environment variables

Setup

1. Clone the repository:

   • Clone the repository: git clone https://github.com/your-username/Weather-Outfit-Assistant.git

2. Navigate to the project directory:

   • Navigate to the project directory: cd Weather-Outfit-Assistant

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

   • Create a virtual environment: python -m venv venv

4. Activate the virtual environment:

   • For Windows: venv\Scripts\activate
   • For macOS/Linux: source venv/bin/activate

5. Install additional dependencies:

   • Install dependencies: pip install -r requirements.txt

6. Create a .env file in the project root and add your API keys and email credentials:

   • Add API keys and credentials to .env:

     OPENWEATHER_API_KEY=your_openweather_api_key
     OPENAI_API_KEY=your_openai_api_key
     GMAIL_USER=your_gmail_user
     GMAIL_PASS=your_gmail_password
     TO_EMAIL=recipient_email_address
     

Usage

Run the main script:

• Run the main script: python main.py

The script will fetch current weather information, query GPT-3.5 for outfit suggestions, and send the consolidated advice to the specified email address.

Contributing

Feel free to contribute to the project by opening issues or creating pull requests. We welcome suggestions, bug reports, and enhancements!

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute the code for your needs.