Update README.md

README.md

@@ -1,3 +1,98 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- SilpaCS/Augmented_alzheimer
+language:
+- en
+base_model:
+- google/siglip2-base-patch16-224
+pipeline_tag: image-classification
+library_name: transformers
+tags:
+- Alzheimer
+- Stage-Classifier
+- SigLIP2
+---
+
+
+# **Alzheimer-Stage-Classifier**
+
+> **Alzheimer-Stage-Classifier** is a multi-class image classification model based on `google/siglip2-base-patch16-224`, designed to identify stages of Alzheimer’s disease from medical imaging data. This tool can assist in **clinical decision support**, **early diagnosis**, and **disease progression tracking**.
+
+---
+
+## **Label Classes**
+
+The model classifies input images into the following stages of Alzheimer’s disease:
+
+```
+0: MildDemented  
+1: ModerateDemented  
+2: NonDemented  
+3: VeryMildDemented
+```
+
+---
+
+## **Installation**
+
+```bash
+pip install transformers torch pillow gradio
+```
+
+---
+
+## **Example Inference Code**
+
+```python
+import gradio as gr
+from transformers import AutoImageProcessor, SiglipForImageClassification
+from PIL import Image
+import torch
+
+# Load model and processor
+model_name = "prithivMLmods/Alzheimer-Stage-Classifier"
+model = SiglipForImageClassification.from_pretrained(model_name)
+processor = AutoImageProcessor.from_pretrained(model_name)
+
+# ID to label mapping
+id2label = {
+    "0": "MildDemented",
+    "1": "ModerateDemented",
+    "2": "NonDemented",
+    "3": "VeryMildDemented"
+}
+
+def classify_alzheimer_stage(image):
+    image = Image.fromarray(image).convert("RGB")
+    inputs = processor(images=image, return_tensors="pt")
+
+    with torch.no_grad():
+        outputs = model(**inputs)
+        logits = outputs.logits
+        probs = torch.nn.functional.softmax(logits, dim=1).squeeze().tolist()
+
+    prediction = {id2label[str(i)]: round(probs[i], 3) for i in range(len(probs))}
+    return prediction
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=classify_alzheimer_stage,
+    inputs=gr.Image(type="numpy"),
+    outputs=gr.Label(num_top_classes=4, label="Alzheimer Stage"),
+    title="Alzheimer-Stage-Classifier",
+    description="Upload a brain scan image to classify the stage of Alzheimer's: NonDemented, VeryMildDemented, MildDemented, or ModerateDemented."
+)
+
+if __name__ == "__main__":
+    iface.launch()
+```
+
+---
+
+## **Applications**
+
+* **Early Alzheimer’s Screening**
+* **Clinical Diagnosis Support**
+* **Longitudinal Study & Disease Monitoring**
+* **Research on Cognitive Decline**