Create app.py

app.py

@@ -0,0 +1,15 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(img):
+  predictions = pipe(img)
+  return img, {p["label"]: p["score"] for p in predictions}
+
+interface = gr.Interface(fn = predict,
+                         inputs = gr.Image(label = "select hot dog image", sources = ['upload', 'webcam'], type='pil'),
+                         outputs = [gr.Image(label = "processed image"), gr.Label(label = "result", num_top_classes = 2)],
+                         title = "hot dog or not")
+
+interface.launch()