Upload app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 建立模型
+classifier = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+# 預測函式
+def predict(image):
+    predictions = classifier(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+# 建立介面
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(label="Upload hot dog candidate", type="filepath"),
+    outputs=gr.Label(num_top_classes=2),
+    title="🌭 Hot Dog? Or Not?",
+    allow_flagging="manual"
+).launch()