https://github.com/damienb123/smolagent-training-model
This project demonstrates the use of the smolagents library to create an intelligent agent that assists with party preparations. The agent uses a tool to suggest menus based on the occasion and calculates the total preparation time for the party.
https://github.com/damienb123/smolagent-training-model
aiagents python smolagents tools
Last synced: about 2 months ago
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This project demonstrates the use of the smolagents library to create an intelligent agent that assists with party preparations. The agent uses a tool to suggest menus based on the occasion and calculates the total preparation time for the party.
- Host: GitHub
- URL: https://github.com/damienb123/smolagent-training-model
- Owner: Damienb123
- Created: 2025-02-28T18:20:28.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-28T18:42:48.000Z (8 months ago)
- Last Synced: 2025-03-29T22:19:44.722Z (7 months ago)
- Topics: aiagents, python, smolagents, tools
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# smolagent-training-model
This project demonstrates the use of the `smolagents` library to create an intelligent agent that assists with party preparations. The agent uses a tool to suggest menus based on the occasion and calculates the total preparation time for the party.## Features
- **Menu Suggestion**: The agent can suggest a menu based on the type of occasion (casual, formal, superhero, etc.).
- **Task Management**: The agent calculates the total time required to complete a list of tasks for party preparation.## Installation
1. Clone the repository:
```sh
git clone https://github.com/Damienb123/training-model.git
cd training-model
```2. Install the required dependencies:
```sh
pip install smolagents numpy
```## Usage
Run the [training-model.py](http://_vscodecontentref_/0) script to see the agent in action:
```sh
python training-model.py
```## Acknowledgements
This project uses the smolagents library, which leverages models from Hugging Face to create intelligent agents.