update

app.py

@@ -9,7 +9,7 @@ gradio_temp_dir = os.path.join(tempfile.gettempdir(), 'gradio')
 os.makedirs(gradio_temp_dir, exist_ok=True)
 os.environ['GRADIO_TEMP_DIR'] = gradio_temp_dir
 
-intro = """
+readme = """
 
 This tool is designed to assist you with two main tasks:
 1. **Channel Mapping**: Align your EEG channels with our template channels to ensure compatibility with our models.
@@ -19,9 +19,7 @@ This tool is designed to assist you with two main tasks:
 - **Channel locations**: If you don't have the channel location file, we recommend you to download the standard montage <a href="">here</a>. If the channels in those files don't match yours, you can use **EEGLAB** to adjust them to your required montage.
 - **Raw data**: Your data format must be a two-dimensional array (channels, timepoints).
 - **Channel requirements**: Your data must include some channels that correspond to our template channels, which include: **Fp1, Fp2, F7, F3, Fz, F4, F8, FT7, FC3, FCz, FC4, FT8, T7, C3, Cz, C4, T8, TP7, CP3, CPz, CP4, TP8, P7, P3, Pz, P4, P8, O1, Oz, O2**. At least some of them need to be present for successful mapping. Additionally, please remove any reference, ECG, EOG, EMG... channels before uploading your files.
-"""
 
-readme = """
 ## 1. Channel Mapping
 The following steps will guide you through the process of mapping your EEG channels to our template channels.
 
@@ -216,7 +214,7 @@ with gr.Blocks(delete_cache=(3600, 3600)) as demo:
 	stage2_json = gr.JSON({}, visible=False)
 	channel_json = gr.JSON({}, visible=False)
 
-	gr.Markdown(intro)
+	#gr.Markdown("# ...")
 	with gr.Row():
 
 		with gr.Column(variant="panel"):
@@ -852,7 +850,7 @@ with gr.Blocks(delete_cache=(3600, 3600)) as demo:
 										old_idx = stage1_info["mappingResult"][i]["index"],
 										orig_flags = stage1_info["mappingResult"][i]["isOriginalData"])
 				except FileNotFoundError:
-					#print('stop!!')
+					print('stop!!')
 					break_flag = True
 					break