added app file

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model_adv.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="./model_adv.keras")
+
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions} 
+
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Image(label="Retinopathy score", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="Retinopathy score",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()

model_adv.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:361c2c1abedcb62bf6208e525586c5d49ba573ada865e09b274285469c62d337
+size 226140628