text and link

app.py

@@ -18,7 +18,6 @@ else:
 model = OwlViTForObjectDetection.from_pretrained("google/owlvit-large-patch14").to(device)
 model.eval()
 processor = OwlViTProcessor.from_pretrained("google/owlvit-large-patch14")
-print(os.listdir())
 
 def query_image(img, text_queries, score_threshold):
     text_queries = text_queries.split(",")
@@ -64,11 +63,12 @@ with gr.Blocks() as demo:
             with gr.Row():
                 with gr.Column():
 
-                    gr.Markdown("""Insert an image above and add text descriptions of what you are looking for.""")
+                    gr.Markdown("""Insert an image below and add text descriptions of what you are looking for. 
+                                If you wish for assistance to find the right text queries you can ask for help from [ChatBRD](https://chatbrd.novonordisk.com/#/) but remember you need to log on novos VPN before you can use it.""")
                     inputf1 = gr.Image(source="upload")
                     inputf2 = gr.Textbox()
                     gr.Markdown("""
-                                \n You can also use the score threshold slider to set a threshold to filter out low probability predictions.
+                                \n You can also use the score threshold slider to set a threshold to filter out lower probability predictions.
                                 """)
                     inputf3 = gr.Slider(0, 1, value=0.1)
 
@@ -80,9 +80,13 @@ with gr.Blocks() as demo:
         with gr.Tab("Capture image with webcam"):
             with gr.Row():
                 with gr.Column():
-
+                    gr.Markdown("""Insert an image below and add text descriptions of what you are looking for. 
+                                If you wish for assistance to find the right text queries you can ask for help from [ChatBRD](https://chatbrd.novonordisk.com/#/) but remember you need to log on novos VPN before you can use it.""")
                     inputweb1 = gr.Image(source="webcam")
                     inputweb2 = gr.Textbox()
+                    gr.Markdown("""
+                                \n You can also use the score threshold slider to set a threshold to filter out lower probability predictions.
+                                """)
                     inputweb3 = gr.Slider(0, 1, value=0.1)
 
                     inputs_web = [inputweb1, inputweb2, inputweb3]
@@ -90,8 +94,8 @@ with gr.Blocks() as demo:
 
                 web_output = gr.Image()
 
-    submit_btn.click(fn=query_image, inputs= inputs_file, outputs = im_output)
-    submit_btn_web.click(fn=query_image, inputs= inputs_web, outputs = web_output)
+    submit_btn.click(fn=query_image, inputs= inputs_file, outputs = im_output, queue=True)
+    submit_btn_web.click(fn=query_image, inputs= inputs_web, outputs = web_output, queue=True)
 
     #gr.Markdown("## Image Examples")
     #examples= [os.path.join(os.path.dirname(__file__), "IMGP0178.jpg")]    
@@ -101,5 +105,11 @@ with gr.Blocks() as demo:
     #              outputs=[im_output], 
     #              fn=query_image
     #              )
-
-demo.launch()
+if __name__ == "__main__":
+
+    demo.queue(
+                    concurrency_count=40, # When you increase the concurrency_count parameter in queue(), max_threads() in launch() is automatically increased as well.
+                    max_size=25, # Maximum number of requests that the queue processes
+                    api_open = False # When creating a Gradio demo, you may want to restrict all traffic to happen through the user interface as opposed to the programmatic API that is automatically created for your Gradio demo.  
+                        )
+    demo.launch(auth=("novouser", "bstad2023"))