Update app.py

app.py

@@ -311,35 +311,35 @@ following the algorithm proposed in [*IP-Composer: Semantic Composition of Visua
                     with gr.Group():
                           concept_image1 = gr.Image(label="Concept Image 1", type="numpy")
                           concept_name1 = gr.Dropdown(concept_options, label="concept 1", value=None, info="concept type")
-                    gr.Markdown("💡 add a new concept 👇") 
-                    with gr.Accordion("example + instrcutions", open=False):
+                    with gr.Accordion("💡 add a new concept 👇", open=False):
                         gr.Markdown("1. upload a file with text variations of your concept (e.g. ask an LLM)")
-                        gr.Markdown("2. prefereably with > 100 variations. see file example for the concept 'emotions': ")
-                        gr.Markdown(example)
-                    concept_file_1 = gr.File(label="concept variations", file_types=["text"])
+                        gr.Markdown("2. prefereably with > 100 variations.")
+                        with gr.Accordion("file example for the concept 'emotions'"):
+                            gr.Markdown(example)
+                        concept_file_1 = gr.File(label="concept variations", file_types=["text"])
                                                     
                 with gr.Tab("concept 2 - optional"):            
                     with gr.Group():    
                           concept_image2 = gr.Image(label="Concept Image 2", type="numpy")
                           concept_name2 = gr.Dropdown(concept_options, label="concept 2", value=None, info="concept type")
-                    gr.Markdown("💡 add a new concept 👇") 
-                    with gr.Accordion("example + instrcutions", open=False):
+                    with gr.Accordion("💡 add a new concept 👇", open=False):
                         gr.Markdown("1. upload a file with text variations of your concept (e.g. ask an LLM)")
-                        gr.Markdown("2. prefereably with > 100 variations. see file example for the concept 'emotions': ")
-                        gr.Markdown(example)
-                    concept_file_2 = gr.File(label="concept variations", file_types=["text"])
+                        gr.Markdown("2. prefereably with > 100 variations.")
+                        with gr.Accordion("file example for the concept 'emotions'"):
+                            gr.Markdown(example)
+                        concept_file_2 = gr.File(label="concept variations", file_types=["text"])
                           
                 
                 with gr.Tab("concept 3 - optional"):
                     with gr.Group(): 
                           concept_image3 = gr.Image(label="Concept Image 3", type="numpy")
                           concept_name3 = gr.Dropdown(concept_options, label="concept 3", value= None, info="concept type")
-                    gr.Markdown("💡 add a new concept 👇") 
-                    with gr.Accordion("example + instrcutions", open=False):
+                    with gr.Accordion("💡 add a new concept 👇", open=False):
                         gr.Markdown("1. upload a file with text variations of your concept (e.g. ask an LLM)")
-                        gr.Markdown("2. prefereably with > 100 variations. see file example for the concept 'emotions': ")
-                        gr.Markdown(example)
-                    concept_file_3 = gr.File(label="concept variations", file_types=["text"])
+                        gr.Markdown("2. prefereably with > 100 variations.")
+                        with gr.Accordion("file example for the concept 'emotions'"):
+                            gr.Markdown(example)
+                        concept_file_3 = gr.File(label="concept variations", file_types=["text"])