Create app.py

app.py

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+import numpy as np
+from PIL import Image
+from araclip import AraClip
+import gradio as gr
+model = AraClip.from_pretrained("Arabic-Clip/araclip")
+
+def search(labels, image):
+    # process labels
+    labels = labels.split(",")
+    labels =  [item.strip() for item in original_list if item != "a"]
+    
+    # embed data 
+    image_features = model.embed(image=image)
+    text_features = np.stack([model.embed(text=label) for label in labels])
+    # search for most similar data
+    similarities = text_features @ image_features
+    best_match = labels[np.argmax(similarities)]
+    return best_match
+
+    
+
+# data
+labels = ["قطة جالسة", "قطة تقفز" ,"كلب", "حصان"]
+image = Image.open("cat.png")
+
+demo = gr.Interface(search,["text","image"],["text"],examples=[["حصان, كلب, قطة", "cat.png"]])
+
+demo.launch(debug=True)