Create app.py

app.py

@@ -0,0 +1,18 @@
+# Use a pipeline as a high-level helper
+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()