created app.py file

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+MODEL_ID = "nateraw/food"  # <- replace with any model above
+clf = pipeline("image-classification", model=MODEL_ID)
+
+def predict(img):
+    out = clf(img)
+    # show top-3 with scores
+    out = sorted(out, key=lambda r: r["score"], reverse=True)[:3]
+    return {r["label"]: float(r["score"]) for r in out}
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil", label="Upload image"),
+    outputs=gr.Label(num_top_classes=3),
+    title="Image Classifier (pre-tuned)",
+).launch()