Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(input_img):
+  predictions = pipe(input_img)
+  return input_img, {p["label"]: p["score"] for p in predictions}
+
+import gradio as gr
+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()