Update app.py

app.py

@@ -113,14 +113,14 @@ def inference(img,unique_only):
                 "h": int(height),
             }
         )
-        if ((not unique_only) or  (unqiue_only and predicted_label not in unique_object_dict)):
+        if ((not unique_only) or  (unique_only and predicted_label not in unique_object_dict)):
             object_list_str.append(
             f"{predicted_label} - X:{int(x0)} Y: {int(y0)} Width: {int(width)} Height: {int(height)}"
             )
             unique_object_dict[predicted_label] = 1
 
 
-    output_str = "Imagine you are an intelligent image captioner. Describe each object in detail separately, in a scene where the X,Y coordinates and width,height of  each object is given below. In the end give an overall summary of the scene\n"
+    output_str = "Imagine you are a blind but intelligent image captioner who is only given the X,Y coordinates and width, height of  each object in a scene with no specific attributes of the objects themselves. Create a description of the scene using the relative positions and sizes of objects\n"
     for line in object_list_str:
         output_str += line + "\n"
 
@@ -131,7 +131,7 @@ def inference(img,unique_only):
 
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Detic+ChatGPT")
+    gr.Markdown("# Detic+ChatGPT <i>A duplicated tweak of  <a href=\"https://huggingface.co/spaces/taesiri/DeticChatGPT\">taesiri's Dectic/ChatGPT demo</a></i>")
     gr.Markdown("Use Detic to detect objects in an image and then copy/paste into ChatGPT playground to describe the image.")
     
     #gr.HTML("<p>You can duplicating this space and use your own session token: <a style='display:inline-block' href='https://huggingface.co/spaces/yizhangliu/chatGPT?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14' alt='Duplicate Space'></a></p>")
@@ -139,12 +139,13 @@ with gr.Blocks() as demo:
    
     with gr.Column():
         inp = gr.Image(label="Input Image", type="filepath")
+        chk = gr.Checkbox(label="Unique Object only?")
         btn_detic = gr.Button("Run Detic+ChatGPT")
     with gr.Column():
         outviz = gr.Image(label="Visualization", type="pil")
         output_desc = gr.Textbox(label="Description for using in ChatGPT", lines=5)
         # outputjson = gr.JSON(label="Detected Objects")
 
-    btn_detic.click(fn=inference, inputs=[inp,gr.Checkbox(label="Unique Object only?"),], outputs=[outviz, output_desc])
+    btn_detic.click(fn=inference, inputs=[inp,chk], outputs=[outviz, output_desc])
 
 demo.launch()