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f7fa71d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | # OntoGraph - Drug Interaction Analysis System
A sophisticated Python-based application that combines ontology reasoning with LLM capabilities to analyze drug interactions, conflicts, and alternatives. The system provides comprehensive analysis through both CLI and web interfaces.
## Key Features
- Dual Interface Options:
- Web-based interface using Streamlit
- Command-line interface for direct interaction
- Comprehensive Drug Analysis:
- Drug interaction detection
- Conflict identification
- Similar drug suggestions
- Alternative medication recommendations
- Advanced Technology Stack:
- RDF/OWL ontology for knowledge representation
- Groq LLM integration for natural language processing
- Agent-based architecture using Langgraph for modular analysis
- Structured logging system
## Technical Requirements
- Python 3.x
- Groq API key
- Required Python packages:
- rdflib
- langchain
- python-dotenv
- langchain-community
- langchain-groq
- langgraph
- streamlit
## Installation
1. Clone the repository:
```bash
git clone https://github.com/Manithj/onto_graph.git
cd onto_graph
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Configure environment:
- Create a `.env` file in the project root
- Add your Groq API key:
```bash
GROQ_API_KEY=your_api_key_here
```
## Usage
### Web Interface
```bash
streamlit run app.py
```
Navigate to the displayed local URL to access the web interface.
### Command Line Interface
```bash
python appcli.py
```
## Project Structure
```
onto_graph/
├── app.py # Streamlit web interface
├── appcli.py # Command line interface
├── agents/ # Agent implementations
│ ├── __init__.py
│ ├── alternative_agent.py
│ ├── base_agent.py
│ ├── conflict_agent.py
│ ├── interaction_agent.py
│ └── similarity_agent.py
├── analyzers/ # Analysis coordination
│ ├── __init__.py
│ └── drug_interaction_analyzer.py
├── ontology/ # Knowledge base
│ └── DrugInteraction.owl
└── requirements.txt # Project dependencies
```
## Features in Detail
### Agent System
- **Base Agent**: Common functionality for ontology queries
- **Alternative Agent**: Identifies alternative medications
- **Similarity Agent**: Finds similar drugs
- **Conflict Agent**: Detects drug conflicts
- **Interaction Agent**: Analyzes drug interactions
### Analysis Pipeline
1. User input processing
2. Ontology querying
3. LLM-powered result synthesis
4. Structured response generation
## Contributing
We welcome contributions! Please follow these steps:
1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to your branch
5. Create a Pull Request
## Logging
The system maintains detailed logs in `app.log`, capturing:
- Information level messages
- Warning and error states
- Query execution details
- System state changes
## License
This project is licensed under the [Apache 2.0](LICENSE).
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