Create app.py

app.py

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+from turtle import title
+import gradio as gr
+from transformers import pipeline
+import numpy as np
+from PIL import Image
+
+
+pipe = pipeline("zero-shot-image-classification", model="OFA-Sys/chinese-clip-vit-base-patch16")
+images="festival.jpg"
+
+def shot(image, labels_text):
+    PIL_image = Image.fromarray(np.uint8(image)).convert('RGB')
+    labels = labels_text.split(",")
+    res = pipe(images=PIL_image, 
+           candidate_labels=labels,
+           hypothesis_template= "This is a photo of a {}")
+    return {dic["label"]: dic["score"] for dic in res}
+    
+iface = gr.Interface(shot, 
+                    ["image", "text"], 
+                    "label", 
+                    examples=[["festival.jpg", "灯笼, 鞭炮, 对联"], 
+                              ["cat-dog-music.png", "音乐表演, 体育运动"],
+                              ["football-match.jpg", "梅西, C罗, 马奎尔"]],
+                    description="Add a picture and a list of labels separated by commas",
+                    title="Zero-shot Image Classification")
+
+iface.launch()