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Update app.py
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app.py
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@@ -44,7 +44,7 @@ Once all template channels are filled, you will be directed to **Mapping Results
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### Mapping Results
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After completing the previous steps, your channels will be aligned with the template channels required by our models.
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- In case there are still some channels that haven't been mapped, we will automatically batch and optimally assign them to the template. This ensures that even channels not initially mapped will still be included in the final results.
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- 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 source code
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## 2. Decode data
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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.
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@@ -252,7 +252,7 @@ with gr.Blocks() as demo:
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# step4 : mapping results
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out_json_file = gr.File(visible=False)
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res_md = gr.Markdown("""
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(Download this file if you plan to run the models using the source code
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""", visible=False)
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with gr.Row():
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### Mapping Results
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After completing the previous steps, your channels will be aligned with the template channels required by our models.
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46 |
- In case there are still some channels that haven't been mapped, we will automatically batch and optimally assign them to the template. This ensures that even channels not initially mapped will still be included in the final results.
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+
- 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.
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## 2. Decode data
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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.
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# step4 : mapping results
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out_json_file = gr.File(visible=False)
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res_md = gr.Markdown("""
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(Download this file if you plan to run the models using the <a href="">source code</a>.)
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""", visible=False)
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with gr.Row():
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