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AI Agents in Chemical Research: GVIM - An Intelligent Research Assistant System ๐งช๐ค
An intelligent research assistant system designed specifically for chemical science, featuring fine-tuned language models and specialized chemistry capabilities.
๐ Highlights
๐ Model Overview
GVIM combines several cutting-edge technologies:
๐ฌ Technical Features
- Fine-tuned Models: Trained on curated chemistry instruction data
- Chemistry Tools: Molecular visualization and SMILES processing
- Smart Retrieval: Advanced chemical literature search and analysis
- Multimodal Support: Formula recognition and image analysis
- Knowledge Base: Local document processing and continuous learning
๐ฏ Main Applications
- Chemical research assistance and analysis
- Molecular structure visualization
- Literature review and knowledge extraction
- Handwritten formula recognition
- Document-based knowledge processing
๐ป Quick Start
Requirements
# Create conda environment
conda create -n gvim python=3.9.19
conda activate gvim
# Install dependencies
pip install -r requirements.txt
API Configuration โ๏ธ
Required API keys:
TAVILY_API_KEY="your_key_here"
REPLICATE_API_TOKEN="your_token_here"
Groq_API_KEY="your_key_here"
Launch ๐
python app.py
๐ฅ Key Features Showcase
๐ธ Click to view feature demonstrations
1. Nature Chemistry Search Interface
2. Multimodal Chemical Recognition
3. Local Document Analysis
๐ Free GPU Resources
Access GVIM's capabilities using Colab's free GPU resources:
๐ Citation
@article{ma2024chemai,
author = {Kangyong Ma},
affiliation = {College of Physics and Electronic Information Engineering,
Zhejiang Normal University},
address = {Jinhua City, 321000, China},
doi = {10.26434/chemrxiv-2024-6tv8c},
email = {[email protected], [email protected]}
}
๐ Contact
๐ง Email |
๐ข InstitutionCollege of Physics and Electronic Information Engineering |
๐ Star us on GitHub | ๐ Commercial use requires authorization | ๐ Read our paper
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