Create app.py

app.py

@@ -0,0 +1,15 @@
+from transformers import pipeline 
+classification = pipeline ("zero-shot-image-classification", model ="openai/clip-vit-large-patch14")
+
+import gradio as gr
+def classify_image(image):
+    labels = ["groupe1", "groupe2", "groupe3"]
+    classification = classification(image, labels)
+    return classification
+image_input = gr.Image()
+label_output = gr.Label(num_top_classes=3)
+
+gr.Interface(fn=classify_image, inputs=image_input, outputs=label_output, 
+             title="Zero-Shot Image Classification",
+             description="Classify images into predefined classes without fine-tuning the model.",
+             allow_flagging=False).launch()