numpy from PIL

app.py

@@ -20,8 +20,8 @@ def generate_relevancy(
 ):
     labels = labels.split(",")
     prompts = [prompt]
+    img = np.asarray(Image.fromarray(img).resize((244 * 2, 244 * 2)))
     assert img.dtype == np.uint8
-    img = Image.fromarray(img).resize((244 * 2, 244 * 2))
     h, w, c = img.shape
     grads = ClipWrapper.get_clip_saliency(
         img=img,
@@ -77,4 +77,5 @@ iface = gr.Interface(
         ]
     ],
 )
+# iface.launch(share=True)
 iface.launch()