Update accordions (default=False)

app.py

@@ -93,7 +93,16 @@ with gr.Blocks(css=css) as demo:
                 txt_out_CogVLM = gr.Textbox(label="CogVLM", lines= n_lines, max_lines=n_lines)
                 txt_out_LLaVa = gr.Textbox(label="LLaVa", lines= n_lines, max_lines=n_lines)
             with gr.Row():
-                with gr.Accordion("Prompt used for GPT4-V, CogVLM and LLaVA"):
+                with gr.Accordion("Basic prompt used for GPT4-V", open=False):
+                    gr.Markdown("""
+                    You are a virtual sewer technician with the capability to analyze images from CCTV cameras taken inside sewer pipes.
+                    Your task is to examine each image and provide a concise, yet accurate, summary for retrieval.
+                    After summarizing, you must classify the image as DEFECTIVE or NON DEFECTIVE.
+                    You will always try to describe the image that you see.
+                    You must provide your output in JSON format with DESCRIPTION: <your description of the image>, PREDICTION: <your prediction, either DEFECTIVE or NON DEFECTIVE>"""
+                               )
+            with gr.Row():
+                with gr.Accordion("Prompt used for GPT4-V, CogVLM and LLaVA", open=False):
                     gr.Markdown("""
                     You are a virtual sewer technician with the capability to analyze images from CCTV cameras taken inside sewer pipes.
                     Your task is to examine each image and provide a concise, yet accurate, summary for retrieval. 
@@ -117,15 +126,7 @@ with gr.Blocks(css=css) as demo:
                     6) You will always try to describe the image that you see.
                     You must provide your output in JSON format with DESCRIPTION: <your description of the image>, PREDICTION: <your prediction, either DEFECTIVE or NON DEFECTIVE>"""
                                )
-                with gr.Accordion("Basic prompt used for GPT4-V"):
-                    gr.Markdown("""
-                    You are a virtual sewer technician with the capability to analyze images from CCTV cameras taken inside sewer pipes.
-                    Your task is to examine each image and provide a concise, yet accurate, summary for retrieval.
-                    After summarizing, you must classify the image as DEFECTIVE or NON DEFECTIVE.
-                    You will always try to describe the image that you see.
-                    You must provide your output in JSON format with DESCRIPTION: <your description of the image>, PREDICTION: <your prediction, either DEFECTIVE or NON DEFECTIVE>"""
-                               )
-                                      
+                               
     
     prev_btn.click(fn=return_prev, inputs=index, outputs=[index, txt_item, img_out, 
                                                             txt_out_GPT4, txt_out_GPT4s,