Create app.py

app.py

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+## https://medium.com/@sa.pieri.98/build-your-first-hugging-face-space-with-gradio-a-beginners-guide-14bc42d66887
+
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(image):
+    predictions = pipeline(image)
+    return [p["label"]: p["score"] for p in predictions]
+
+gr.interface(
+    predict,
+    inputs = gr.Image(label="Upload hot dog candidate", type = "filepath"),
+    outputs = gr.Label(num_top_classes=2),
+    title="hot Dog? or Not ?"
+).launch()
+