Updated Readme

README.md

@@ -6,4 +6,27 @@ metrics:
 - accuracy
 pipeline_tag: image-classification
 library_name: keras
----
+---
+
+# Dermacare Skin Lesion Classification
+
+Dermacare is a skin lesion classification model built using Keras. It classifies dermatoscopic images into various types of skin lesions, aiding in the early detection of skin cancer.
+
+## Model Architecture
+The model is a Convolutional Neural Network (CNN) trained on the [HAM10000 dataset](https://www.kaggle.com/datasets/ultralytics/ham10000) with the following key specifications:
+
+- **Input**: 224x224 RGB images
+- **Architecture**: Keras-based CNN
+- **Output**: 7-class classification for different types of skin lesions
+
+## Usage Example
+To use the model for predictions, send an image to the inference endpoint as shown below:
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/sreejith782/Dermacare_Skin_Lesion_classification"
+headers = {"Authorization": "Bearer YOUR_HUGGING_FACE_TOKEN"}
+
+response = requests.post(API_URL, headers=headers, files={"inputs": open("path_to_image.jpg", "rb")})
+print(response.json())