.

app.py

@@ -0,0 +1,15 @@
+from gradio import gr
+from transformers import pipeline
+
+model = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(image):
+	predictions = model(image)
+	return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+	predict,
+	inputs = gr.Image(label="Upload image", type="filepath"),
+	outputs = gr.Label(num_top_classes=2)
+	title = "Hotdog or Not Hotdog?",
+).launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch