Create app.py

app.py

@@ -0,0 +1,23 @@
+from transformers import pipeline
+import gradio as gr
+def alz_mri_classification(image):
+    classifier = pipeline("image-classification", model="dewifaj/alzheimer_classification")
+    result = classifier(image)
+    # extract the highest score
+    prediction = result[0]
+    score = prediction['score']
+    label = prediction['label']
+    return {"score": score, "label": label}
+    
+example_image_paths = ["Very_Mild_Demented.png", 
+                       "Mild_Demented.png", 
+                       "Moderate_Demented.png", 
+                       "Non_Demented.png"]
+
+image_input = gr.Image(type="pil", label="Upload Image")
+iface = gr.Interface(fn=alz_mri_classification, 
+                     inputs=image_input, 
+                     outputs="json", 
+                     examples=example_image_paths,
+                     title="Alzheimer Recognition from MRI")
+iface.launch()