Create app.py

app.py

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+# 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(input_img):
+  predictions=pipeline(input_img)
+  return input_img,{p["label"]:p["score"]for p in predictions}
+
+gradio_app=gr.Interface(
+    predict,
+    inputs=gr.Image(label="select hot dog candidate",sources=['upload','webcam'],type="pil"),
+    outputs=[gr.Image(label="Processed Image"),gr.Label(label="Result",num_top_classes=2)],
+    title="Hot Dog? Or Not?",
+) 
+if __name__="main":
+    gradio_app.launch()