Update app.py

app.py

@@ -12,7 +12,7 @@ This tool is designed to assist you with two main tasks:
 
 ## File Requirements and Preparation
 - **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**: The data need to be a two-dimentional array (channel, timepoint).
+- **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.
 
 """
@@ -47,7 +47,7 @@ After completing the previous steps, your channels will be aligned with the temp
 - Once the channel mapping process is completed, a **JSON file** containing the mapping results will be generated. This file is necessary only if you plan to run the models using the <a href="">source code</a>; otherwise, you can ignore it.
 
 ## 2. Decode data
-After clicking the ``Run`` button, we will process your EEG data based on the mapping results. If necessary, your data will be devided into batches and run the models on each batch sequentially, ensuring that all channels are properly processed.
+After clicking on ``Run`` button, we will process your EEG data based on the mapping results. If necessary, your data will be devided into batches and run the models on each batch sequentially, ensuring that all channels are properly processed.
 """
 
 icunet = """