semvec/pypi-packages huggingface dataset:
materials-eunomia 1.1.0
Chemist AI Agent for Developing Materials Datasets with Natural Language Prompts
License: MIT license
Requires Python: >=3.6
Keywords: eunomia

![example workflow](https://github.com/github/docs/actions/workflows/test.yml/badge.svg)
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# Eunomia
AI Agent Chemist for Developing Materials Datasets

![TOC](https://github.com/AI4ChemS/Eunomia/assets/51170839/9fa4d4a7-4997-4a8a-9483-8bea6911b131)

## Iterative-Chain-of-Verification (CoV)
Eunomia employs a chain-of-verification process iteratively to minimize the likelihood of hallucination, as well as integrating chemistry-informed knowledge into decision-making and action-taking plannings of the LLM.

![cov_with_flow](https://github.com/AI4ChemS/Eunomia/assets/51170839/2db06b6f-327c-462d-a2c5-7d69737f9ce9)


Live App
--------
[https://eunomia.streamlit.app/](https://eunomia.streamlit.app/)

Example 1: Molecular Targets and Peptide Sequences
--------

[VEGFR example](https://github.com/AI4ChemS/Eunomia/assets/51170839/26350a96-e7ba-47ad-90e0-4b388d58223d)

Example 2: Water Stable Metal-organic Frameworks
--------

[Water stability example](https://github.com/AI4ChemS/Eunomia/assets/51170839/ccd89e31-e7b4-49e8-b90f-c420438e751d)

Example 3: Thermal Conductivity of Metal-organic Frameworks
--------

[Thermal conductivity example](https://github.com/AI4ChemS/Eunomia/assets/51170839/d12afb51-669c-4a3f-b9be-171bec830915)


Installation
--------

```bash
pip install materials-eunomia
```

or you can clone the source code and install in developer mode:

```bash
git clone https://github.com/AI4ChemS/Eunomia.git && cd Eunomia
pip install -e .
```

You need to have a valid OPENAI API key. If you are on a windows machine you can add `OPENAI_API_KEY` in your Environment Variables. For linux systems set the key by adding this line to `~/.bashrc`:

```bash
export OPENAI_API_KEY=your_api_key_here
```

Confirm correct installation by running the unittests:

```bash
cd tests && python -m unittest discover
```

Applying Other LLMs
--------
Eunomia uses openAI's `gpt-4` by default but you can use other LLMs for driving the agent as well. Check out this [notebook](https://github.com/AI4ChemS/Eunomia/blob/main/examples/Applying_other_LLMs.ipynb) for examples.

Citation
--------

For more details checkout [preprint](https://arxiv.org/abs/2312.11690) and if you are using our methodology, please consider citing us using the citation below:

```bibtex
@misc{ansari2023agentbased,
      title={Agent-based Learning of Materials Datasets from Scientific Literature}, 
      author={Mehrad Ansari and Seyed Mohamad Moosavi},
      year={2023},
      eprint={2312.11690},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
```