Update README.md

README.md

@@ -1,29 +1,8 @@
-# By Kolia Aimilia, Kontoudakis Nikos, Skiada Kyriaki, Lampropoulou Nancy
-The project aims to classify lesions.
-
-# Project Structure
-The project follows a modular structure to separate configuration, data processing, computer vision logic, and model training.
-
-```text
-ham10000_project/
-│
-├── data/
-│   ├── images/              # Original dermoscopy images (e.g., ISIC_0024306.jpg)
-│   └── GroundTruth.csv      # Metadata and labels
-│
-├── models/                  # Generated automatically during training
-│   ├── skin_cancer_model.pkl # Trained Random Forest/SVM model
-│   ├── scaler.pkl           # StandardScaler for feature normalization
-│   ├── classes.pkl          # List of class names (MEL, NV, etc.)
-│   └── comparison_results.png # Confusion matrix plot
-│
-├── src/                     # Core Logic Package
-│   ├── __init__.py          # Makes this folder a Python package
-│   ├── config.py            # Configuration, Constants, and Hyperparameters
-│   ├── data.py              # Data loading and stratified splitting logic
-│   ├── features.py          # Computer Vision pipeline (CLAHE, Otsu, Sobel, etc.)
-│   └── model.py             # Model training, evaluation, and saving
-│
-├── train_main.py            # Script 1: Main entry point to train the model
-├── app.py                   # Script 2: Streamlit Web Interface for inference
-└── requirements.txt         # Project dependencies
+title: Lesion Dection
+emoji: 🐢
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+sdk_version: 1.45.1
+app_file: ./app.py
+pinned: false