Attempt to add URL text box interface

app.py

@@ -3,7 +3,7 @@
 
 
 
-__all__ = ['install', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']
+__all__ = ['install', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf', 'classify_image_url', 'intf_text_url']
 
 
 
@@ -55,8 +55,8 @@ def classify_image(img):
     return dict(zip(categories, map(float,probs)))
     
     
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
+image     = gr.inputs.Image(shape=(192, 192))
+label     = gr.outputs.Label()
 examples = ['stock.jpg', 'stock2.jpg', 'stock-easy.jpg', 'stock-easy2.jpg', 'combine-stock.jpg', 'washing-machine-stock.jpg', 'glasses-amateur.jpg', 'amateur.jpg', 'amateur2.jpg', 'amateur-easy.jpg', 'amateur-easy2.jpg', 'unsure.jpg']
 # stock:       https://cdn.pixabay.com/photo/2022/02/11/12/12/pforphoto-7007231_1280.jpg
 # stock2:      https://cdn.pixabay.com/photo/2019/09/25/13/57/business-4503747_960_720.jpg
@@ -75,6 +75,28 @@ intf.launch(inline=False)
 
 
 
+from fastdownload import download_url
+from fastai.vision.all import *
+import os
+
+
+def classify_image_url(url_text):
+    try:
+        dest = 'temp.jpg'
+        download_url(url_text, dest, show_progress=False)
+        im = Image.open(dest)
+        img = im.to_thumb(256,256)
+        #resize_images(dest, max_size=400, dest=dest)
+        os.remove(dest)
+        return classify_image(img)
+    except:
+        # in case there is any error, invalid URL or invalid image, etc., not sure how Gradio will handle a runtime exception so catching it to be safe
+        return { (categories[0], 0.0), (categories[1], 0.0) }
+
+intf_text_url = gr.Interface(fn=classify_image_url, inputs="text", outputs=label, examples=examples)
+intf_text_url.launch(inline=False)
+
+