Upload app.py

app.py

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+# coding: utf8
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="dqnguyen/vit-base_diabetic_ulcer_image_classification")
+
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload an image (Tải một bức ảnh vét loét tiểu đường)", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=5),
+    title="Diabetic Ulcer Image Classification",
+).launch()