try a load

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+"""
+pipe = pipeline("classification", model="openai/clip-vit-large-patch14")
+def classify(img):
+    predictions = pipe(img)
+    pipe(text=["", "a photo of a dog"], images=image, return_tensors="pt", padding=True)
+    return predictions
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=classify, inputs="image", outputs="text")
 iface.launch()
+"""
+
+
+iface = gr.Interface.load("huggingface/gradio/clip-vit-large-patch14/")
+iface.launch()