Update app.py

app.py

@@ -65,7 +65,7 @@ def detect_objects(model_name,url_input,image_input,threshold):
     
         model = YolosForObjectDetection.from_pretrained(model_name)
     
-    if url_input and validators.url(url_input):
+    if validators.url(url_input):
         image = Image.open(requests.get(url_input, stream=True).raw)
         
     elif image_input:
@@ -98,6 +98,8 @@ Links to HuggingFace Models:
 """
 
 models = ["facebook/detr-resnet-50","facebook/detr-resnet-101",'hustvl/yolos-small']
+urls = ["https://media-cldnry.s-nbcnews.com/image/upload/t_fit-1500w,f_auto,q_auto:best/newscms/2020_14/3290756/200331-wall-street-ew-#343p.jpg"]
+
 
 css = '''
 h1#title {
@@ -115,14 +117,11 @@ with demo:
     with gr.Tabs():
         with gr.TabItem('Image URL'):
             with gr.Row():
-                url_input = gr.Textbox(lines=1,label='Enter valid image URL here..')
+                url_input = gr.Textbox(lines=2,label='Enter valid image URL here..')
                 img_output_from_url = gr.Image(shape=(450,450))
                 
             with gr.Row():
-                urls = ["https://media-cldnry.s-nbcnews.com/image/upload/t_fit-1500w,f_auto,q_auto:best/newscms/2020_14/3290756/200331-wall-street-ew-#343p.jpg"]
-                example_url = gr.Dataset(components=[url_input],
-                                            samples=[[url]
-                                                     for url in urls])
+                example_url = gr.Dataset(components=[url_input],samples=[[str(url)] for url in urls])
             
             url_but = gr.Button('Detect')