Update app.py

app.py

@@ -294,26 +294,26 @@ following the algorithm proposed in [*IP-Composer: Semantic Composition of Visua
                 base_image = gr.Image(label="Base Image (Required)", type="numpy")
                 with gr.Tab("concept 1"):  
                   with gr.Row():
-                      with gr.Group():
+                    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("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept")
-                          concept_file_1 = gr.File(label="concept variations", file_types=["text"])
+                    gr.Markdown("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept")
+                    concept_file_1 = gr.File(label="concept variations", file_types=["text"])
                                                     
                 with gr.Tab("concept 2 - optional"):            
-                     with gr.Group():    
+                    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("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept")  
-                          concept_file_2 = gr.File(label="concept variations", file_types=["text"])
+                    gr.Markdown("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept")  
+                    concept_file_2 = gr.File(label="concept variations", file_types=["text"])
                           
                 
                 with gr.Tab("concept 3 - optional"):
-                     with gr.Group(): 
+                    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("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept") 
-                          concept_file_3 = gr.File(label="concept variations", file_types=["text"])
+                    gr.Markdown("💡 you can use a new concept by uploading a txt/csv file with text variations of your concept") 
+                    concept_file_3 = gr.File(label="concept variations", file_types=["text"])