codemood 0.0.3

A fun Code Mood Analyzer that assigns 'moods' to code snippets using AI

🌀 Codemood

“Because even code has feelings…”

Codemood is a lighthearted Python package that analyzes the “mood” of your code. Under the hood, it uses AI sentiment analysis — but instead of just saying positive/negative, it explains why your code snippet made the model happy, sad, or confused.

Perfect for:
✅ Adding humor to coding sessions
✅ Live demos & hackathons
✅ Side projects that surprise developers with witty feedback

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✨ Features

• 🚀 Works out-of-the-box (no setup needed).
• 🧠 Uses Hugging Face Transformers locally if available.
• ☁️ Falls back to Hugging Face API (if you provide HF_TOKEN).
• 🎭 Funny explanations — not just “Positive”, but “Model got happy because it saw print 🎉”.
• 🐍 Lightweight, pip-installable, hackathon-friendly.

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📦 Installation

pip install codemood

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⚡ Quickstart

from codemood import analyze_code

snippet = "for i in range(10): print(i)"
mood = analyze_code(snippet)

print(mood)

Output:

{
  'label': 'POSITIVE',
  'score': 0.98,
  'reason': "Model got happy because it saw print 🎉"
}

---

🎯 Advanced Usage

from codemood import CodeMoodAnalyzer

analyzer = CodeMoodAnalyzer()

# Analyze a function
code = """
def greet(name):
    print("Hello", name)
"""
print(analyzer.analyze(code))

# Alias method (same result)
print(analyzer.explain_sentiment(code))

---

🔑 Hugging Face API (Optional)

By default, Codemood works offline with transformers.
If you want cloud inference, set your Hugging Face token:

export HF_TOKEN="your_hf_token_here"

No token? No worries → Codemood will gracefully skip cloud mode.

---

🛠️ Roadmap

• Add more “emotions” beyond positive/negative.
• Language-specific code mood tuning (Python vs JS vs C++).
• VS Code extension for live code mood popups.

---

🤝 Contributing

PRs are welcome! Fork the repo, create a branch, and send a PR with your funniest improvements.

---

📜 License

MIT — Free to use, remix, and make your code smile 😄

---

🔥 With Codemood, your code reviews will never be boring again.

---

A4-red)](https://github.com/OmkarPalika/codemood)

Codemood is a lighthearted Python package that analyzes the “mood” of your code. Under the hood, it uses AI sentiment analysis — but instead of just saying positive/negative, it explains why your code snippet made the model happy, sad, or confused.

Perfect for:
✅ Adding humor to coding sessions
✅ Live demos & hackathons
✅ Side projects that surprise developers with witty feedback

---

✨ Features

• 🚀 Works out-of-the-box (no setup needed).
• 🧠 Uses Hugging Face Transformers locally if available.
• ☁️ Falls back to Hugging Face API (if you provide HF_TOKEN).
• 🎭 Funny explanations — not just “Positive”, but “Model got happy because it saw print 🎉”.
• 🐍 Lightweight, pip-installable, hackathon-friendly.

---

📦 Installation

pip install codemood

---

⚡ Quickstart

from codemood import analyze_code

snippet = "for i in range(10): print(i)"
mood = analyze_code(snippet)

print(mood)

Output:

{
  'label': 'POSITIVE',
  'score': 0.98,
  'reason': "Model got happy because it saw print 🎉"
}

---

🎯 Advanced Usage

from codemood import CodeMoodAnalyzer

analyzer = CodeMoodAnalyzer()

# Analyze a function
code = """
def greet(name):
    print("Hello", name)
"""
print(analyzer.analyze(code))

# Alias method (same result)
print(analyzer.explain_sentiment(code))

---

🔑 Hugging Face API (Optional)

By default, Codemood works offline with transformers.
If you want cloud inference, set your Hugging Face token:

export HF_TOKEN="your_hf_token_here"

No token? No worries → Codemood will gracefully skip cloud mode.

---

🛠️ Roadmap

• Add more “emotions” beyond positive/negative.
• Language-specific code mood tuning (Python vs JS vs C++).
• VS Code extension for live code mood popups.

---

🤝 Contributing

PRs are welcome! Fork the repo, create a branch, and send a PR with your funniest improvements.

---

📜 License

MIT — Free to use, remix, and make your code smile 😄

---

🔥 With Codemood, your code reviews will never be boring again.

---