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Manith Marapperuma πΎ
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README.md
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- Conflict identification
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- Similar drug suggestions
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- Alternative medication recommendations
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- Advanced Technology Stack:
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- RDF/OWL ontology for knowledge representation
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- Groq LLM integration for natural language processing
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- Agent-based architecture using Langgraph for modular analysis
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- Structured logging system
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## π οΈ Technical Requirements
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- Python 3.x
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- Groq API key
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- Required Python packages:
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- rdflib
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- langchain
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- python-dotenv
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- langchain-community
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- langchain-groq
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- langgraph
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- streamlit
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## π₯ Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/Manithj/onto_graph.git
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cd onto_graph
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Configure environment:
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- Create a `.env` file in the project root
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- Add your Groq API key:
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```bash
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GROQ_API_KEY=your_api_key_here
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```
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## π» Usage
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### Web Interface
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```bash
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streamlit run app.py
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```
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Navigate to the displayed local URL to access the web interface.
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### Command Line Interface
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```bash
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python appcli.py
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```
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## ποΈ Project Structure
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```
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onto_graph/
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βββ app.py # Streamlit web interface
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βββ appcli.py # Command line interface
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βββ agents/ # Agent implementations
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β βββ __init__.py
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β βββ alternative_agent.py
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β βββ base_agent.py
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β βββ conflict_agent.py
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β βββ interaction_agent.py
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β βββ similarity_agent.py
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βββ analyzers/ # Analysis coordination
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β βββ __init__.py
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β βββ drug_interaction_analyzer.py
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βββ ontology/ # Knowledge base
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β βββ DrugInteraction.owl
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βββ requirements.txt # Project dependencies
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```
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## π Features in Detail
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### Agent System
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- **Base Agent**: Common functionality for ontology queries
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- **Alternative Agent**: Identifies alternative medications
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- **Similarity Agent**: Finds similar drugs
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- **Conflict Agent**: Detects drug conflicts
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- **Interaction Agent**: Analyzes drug interactions
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### Analysis Pipeline
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1. User input processing
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2. Ontology querying
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3. LLM-powered result synthesis
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4. Structured response generation
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## π€ Contributing
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We welcome contributions! Please follow these steps:
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1. Fork the repository
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2. Create a feature branch
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3. Commit your changes
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4. Push to your branch
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5. Create a Pull Request
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## π Logging
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The system maintains detailed logs in `app.log`, capturing:
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- Information level messages
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- Warning and error states
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- Query execution details
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- System state changes
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## π License
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This project is licensed under the [Apache 2.0](LICENSE).
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---
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title: Ontograph
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emoji: π»
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colorFrom: red
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colorTo: green
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sdk: streamlit
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sdk_version: 1.41.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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