Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from PIL import Image
+import requests
+from transformers import CLIPProcessor, CLIPModel
+
+model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
+
+def image_feature(uri):
+    image = Image.open(requests.get(url, stream=True).raw)
+    inputs = processor(images=image, return_tensors="pt")
+    image_features = model.get_image_features(**inputs)
+    return image_features.numpy().tolist()[0]
+
+iface = gr.Interface(fn=image_feature, inputs="text", outputs="text")
+iface.launch()