Create app.py

app.py

@@ -0,0 +1,26 @@
+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="openai/clip-vit-base-patch32")
+
+
+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,
+           )
+    return {dic["label"]: dic["score"] for dic in res}
+    
+iface = gr.Interface(shot, 
+                    ["image", "text"], 
+                    "label", 
+                    
+                    description="Placer une image",
+                    title="Powo Class")
+
+iface.launch()