Update app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = 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(
+    fn=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()