Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-patch32")
+def predict(photo,Label1,Label2,Label3):
+  out1= pipe(images=photo,candidate_labels=[Label1,Label2,Label3])
+  out2=out1[0]
+    Demo.launch()
+  out3=out2['label']
+  return out3
+label1='Apple'
+label2='Orange'
+label3='Banana'
+Demo = gr.Interface(fn=predict,inputs=['pil','text','text','text'],outputs='text',examples=[['Banana.jpg',label1,label2,label3]])
+Demo.launch()