Update README.md

README.md

@@ -1,73 +1,73 @@
-title: Medical Analysis System
-emoji: 🤖
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 5.20.1
-app_file: app.py
-pinned: false
-
-# MediSync: Multi-Modal Medical Analysis System
-
-MediSync is an AI-powered healthcare solution that combines X-ray image analysis with patient report text processing to provide comprehensive medical insights.
-
-## Features
-
-- **X-ray Image Analysis**: Detects abnormalities in chest X-rays using pre-trained vision models from Hugging Face.
-- **Medical Report Processing**: Extracts key information from patient reports using NLP models.
-- **Multi-modal Integration**: Combines insights from both image and text data for more accurate diagnosis suggestions.
-- **User-friendly Interface**: Simple web interface for uploading images and reports.
-
-## Project Structure
-
-```
-mediSync/
-├── app.py                    # Main application with Gradio interface
-├── models/
-│   ├── image_analyzer.py     # X-ray image analysis module
-│   ├── text_analyzer.py      # Medical report text analysis module
-│   └── multimodal_fusion.py  # Fusion of image and text insights
-├── utils/
-│   ├── preprocessing.py      # Data preprocessing utilities
-│   └── visualization.py      # Result visualization utilities
-├── data/
-│   └── sample/               # Sample data for testing
-└── tests/                    # Unit tests
-```
-
-## Setup Instructions
-
-1. Clone this repository:
-```bash
-git clone [repository-url]
-cd MediSync
-```
-
-2. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-3. Run the application:
-```bash
-python app.py
-```
-
-4. Access the web interface at `http://localhost:7860`
-
-## Models Used
-
-- **X-ray Analysis**: facebook/deit-base-patch16-224-medical-cxr
-- **Medical Text Analysis**: medicalai/ClinicalBERT
-- **Additional Support Models**: Medical question answering and entity recognition models
-
-## Use Cases
-
-- Preliminary screening of chest X-rays
-- Cross-validation of radiologist reports
-- Educational tool for medical students
-- Research tool for studying correlation between visual findings and written reports
-
-## Note
-
+title: Medical Analysis System
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 5.20.1
+app_file: app.py
+pinned: false
+
+# MediSync: Multi-Modal Medical Analysis System
+
+MediSync is an AI-powered healthcare solution that combines X-ray image analysis with patient report text processing to provide comprehensive medical insights.
+
+## Features
+
+- **X-ray Image Analysis**: Detects abnormalities in chest X-rays using pre-trained vision models from Hugging Face.
+- **Medical Report Processing**: Extracts key information from patient reports using NLP models.
+- **Multi-modal Integration**: Combines insights from both image and text data for more accurate diagnosis suggestions.
+- **User-friendly Interface**: Simple web interface for uploading images and reports.
+
+## Project Structure
+
+```
+mediSync/
+├── app.py                    # Main application with Gradio interface
+├── models/
+│   ├── image_analyzer.py     # X-ray image analysis module
+│   ├── text_analyzer.py      # Medical report text analysis module
+│   └── multimodal_fusion.py  # Fusion of image and text insights
+├── utils/
+│   ├── preprocessing.py      # Data preprocessing utilities
+│   └── visualization.py      # Result visualization utilities
+├── data/
+│   └── sample/               # Sample data for testing
+└── tests/                    # Unit tests
+```
+
+## Setup Instructions
+
+1. Clone this repository:
+```bash
+git clone [repository-url]
+cd MediSync
+```
+
+2. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+3. Run the application:
+```bash
+python app.py
+```
+
+4. Access the web interface at `http://localhost:7860`
+
+## Models Used
+
+- **X-ray Analysis**: facebook/deit-base-patch16-224-medical-cxr
+- **Medical Text Analysis**: medicalai/ClinicalBERT
+- **Additional Support Models**: Medical question answering and entity recognition models
+
+## Use Cases
+
+- Preliminary screening of chest X-rays
+- Cross-validation of radiologist reports
+- Educational tool for medical students
+- Research tool for studying correlation between visual findings and written reports
+
+## Note
+
 This system is designed as a support tool and should not replace professional medical diagnosis. Always consult with healthcare professionals for medical decisions.