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motionify

PyPI versionLicense: MITDownloadsLinkedIn

motionify is a lightweight Python package that converts natural‑language descriptions of character behaviors, movements, and interactions into precise, structured action plans. It is built to bridge the gap between textual commands and the data‑driven directives needed by animation or robotics systems—without handling any multimedia content directly.


✨ Features

  • Natural‑language to actions – feed a sentence, get a list of validated directives.
  • Pattern‑based verification – ensures output matches a predefined regex pattern.
  • Plug‑and‑play LLM – uses ChatLLM7 by default, but any LangChain‑compatible LLM can be supplied.
  • Zero‑setup API key handling – automatically reads LLM7_API_KEY from the environment.

📦 Installation

pip install motionify

🚀 Quick Start

frommotionifyimportmotionify# Example user instructionuser_input="Make the robot wave its right hand and take a step forward."# Call the function (uses default ChatLLM7)actions=motionify(user_input)
print(actions)
# Output: ['wave right_hand', 'step forward']

🛠️ Function Signature

defmotionify(
user_input: str,
api_key: Optional[str] =None,
llm: Optional[BaseChatModel] =None
) ->List[str]:
ParameterTypeDescription
user_inputstrThe natural‑language description to be processed.
api_keyOptional[str]API key for LLM7. If omitted, the function reads LLM7_API_KEY from the environment or falls back to the default key.
llmOptional[BaseChatModel]Your own LangChain LLM instance. When omitted, ChatLLM7 (from langchain_llm7) is used automatically.

🔧 Using Your Own LLM

You can replace the built‑in ChatLLM7 with any LangChain‑compatible chat model.

OpenAI

fromlangchain_openaiimportChatOpenAIfrommotionifyimportmotionifyllm=ChatOpenAI(model="gpt-4o")
actions=motionify(user_input, llm=llm)

Anthropic

fromlangchain_anthropicimportChatAnthropicfrommotionifyimportmotionifyllm=ChatAnthropic(model="claude-3-5-sonnet")
actions=motionify(user_input, llm=llm)

Google Generative AI

fromlangchain_google_genaiimportChatGoogleGenerativeAIfrommotionifyimportmotionifyllm=ChatGoogleGenerativeAI(model="gemini-1.5-pro")
actions=motionify(user_input, llm=llm)

🔑 API Key Management

  • Default: The package looks for LLM7_API_KEY in your environment.
  • Explicit: Provide it directly to the function: motionify(user_input, api_key="YOUR_KEY").
  • Free Tier: The LLM7 free tier offers generous rate limits suitable for most projects.
  • Upgrade: Register for a free key at LLM7 token portal for higher limits.

📬 Support & Issues

If you encounter any problems or have feature requests, please open an issue on GitHub:

👉 https://github.com/chigwell/motionify/issues


👤 Author

Eugene Evstafev
📧 Email: hi@euegne.plus
🐙 GitHub: chigwell


📄 License

Distributed under the MIT License. See LICENSE for more information.


Happy animating!