Create app.py

app.py

@@ -1,7 +1,11 @@
 import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+from transformers import pipeline
+pipe = pipeline(task="image-classification",
+                # model for 22k-category classification
+                model="microsoft/beit-base-patch16-224-pt22k-ft22k")
+gr.Interface.from_pipeline(pipe,
+                           title="22k Image Classification",              
+                           description="Object Recognition ...",
+                           examples = ['wonder_cat.jpg',
+                                       'aki_dog.jpg',],
+                           ).launch(inbrowser=True)