Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(
+    "image-classification",
+    model="ariG23498/vit_base_patch16_224.orig_in21k_ft_in1k.ft_food101"
+)
+
+def classify(image):
+    return pipe(image)[0]["label"]
+
+demo = gr.Interface(fn=classify, inputs=gr.Image(type="pil"), outputs="text")
+demo.launch()