Assignment: Emoji Translator

https://github.com/zhouy185/emoji_mapping/blob/main/emoji_map.ipynb

In this exercise, you will build a simple emoji translator in Python. The goal is to replace certain emotion adjectives (like happy, sad, angry) with matching emojis.

Task

You are given a dictionary of words mapped to emojis:

EMOJI_MAP = {
    "happy": "😀",
    "joyful": "😄",
    "excited": "🤩",
    "proud": "😌",
    "calm": "🙂",
    "confident": "😎",
    "playful": "😜",
    "silly": "🤪",
    "angry": "😡",
    "frustrated": "😤",
    "sad": "😢",
    "lonely": "🥺",
    "scared": "😱",
    "worried": "😟",
    "tired": "😴",
    "confused": "🤔",
    "surprised": "😮",
    "loving": "❤️",
    "grateful": "🙏"
}

Write Python codes in emoji_map.ipynb to:

• Splits the input text into words.

• Replaces words found in EMOJI_MAP with their emoji.

• Keeps all other words unchanged.

For example, "I am happy but also tired" will be converted to "I am 😀 but also 😴"

---

📝 Before You Begin

• Make sure you have a GitHub account (sign up with your McMaster email at https://github.com/join).
• Accept the assignment link provided in GitHub Classroom.
• A private repository will be created for you automatically.

---

🚀 How to Work on the Assignment

Step 1: Open the Notebook in Colab

1. Go to your private assignment repository on GitHub.
2. Click on emoji_map.ipynb.
3. Click the "Open in colab" badge. If not visible, then in the browser’s address bar, replace https://github.com/ with https://colab.research.google.com/github/
4. Press Enter → your notebook opens in Colab.

Step 2: Do the Assignment

• Edit the code cells in Colab.
• Run the cells to test your work.
• Changes are only in Colab until you save them back to GitHub.

Step 3: Submit (Save Back to GitHub)

1. In Colab, click File → Save a copy in GitHub.
2. In the dialog:

• Repository: choose your private assignment repo (e.g., emoji_mapping-username).
• File path: keep it as emoji_map.ipynb.
• Commit message: write something like "Finished assignment" or "Update notebook".

3. Click OK.
4. Your updated notebook is now saved to GitHub.