Fix Dataset Info

app.py

@@ -23,7 +23,7 @@ HYBRID_MODEL = [
     ("TRANSFORMER", "XGBOOST", "Transformer + XGBoost", "models/TRANSFORMER/xgboost_transformer_optuna_10122025_050346.joblib", "models/XGBOOST/xgboost_transformer_optuna_10122025_044957.joblib"),
 ]
 
-# Tambahkan single learning LSTM dan Transformer
+# single learning LSTM dan Transformer
 SINGLE_MODELS = [
     ("Single LSTM", "models/LSTM/single_LSTM_default_10122025_135523.joblib"),
     ("Single Transformer", "models/TRANSFORMER/single_transformer_grid_10122025_115452.joblib"),
@@ -132,11 +132,19 @@ input, select, textarea, .gr-button, .gr-input, .gr-textbox, .gr-dropdown, .gr-f
     border-color: #444 !important;
 }
 .gr-button {border-radius: 6px;}
+.license-box {
+    border: 2px solid #fff;
+    border-radius: 10px;
+    padding: 18px;
+    margin-top: 18px;
+    background: #111;
+    color: #fff;
+}
 """
 
 
 
-with gr.Blocks(css=css) as demo:
+with gr.Blocks() as demo:
     gr.HTML('<div id="title">Atrial Fibrillation Detect</div>')
     gr.HTML('<div id="subtitle">Menganalisis data EKG mengenai adanya Atrial Fibration</div>')
     file_upload = gr.File(label="Upload Dataset/Sinyal (CSV)")
@@ -148,45 +156,49 @@ with gr.Blocks(css=css) as demo:
     file_upload.change(store_file, inputs=file_upload, outputs=shared_file_path)
 
     with gr.Tab("Dataset Info"):
-        gr.Markdown("""
-        ## Daftar File Dataset
-        - [Download mimic_perform_af_001_data.csv](file=Data/mimic_perform_af_001_data.csv) (Atrial Fibrillation)
-        - [Download mimic_perform_non_af_001_data.csv](file=Data/mimic_perform_non_af_001_data.csv) (Non-Atrial Fibrillation)
-
-        **Catatan:**
-        - Dataset yang digunakan untuk training model adalah dataset yang sama dengan yang Anda lihat di sini.
-        - File yang disediakan di atas adalah test dataset, Anda bisa menguji model dengan file tersebut.
-        - Anda juga dapat menggunakan data lain dengan format serupa untuk pengujian.
-
-        Dataset ini merupakan subset dari MIMIC III Waveform Database yang telah dianotasi untuk mendeteksi Atrial Fibrillation (AF) dan Non-AF. Dataset dapat digunakan untuk riset deteksi AF berbasis sinyal EKG.
-        """)
-        gr.Textbox(value="""
-This dataset is licensed under the Open Data Commons Open Database License v1.0 (ODbL 1.0 license).
-Further details are available at: https://opendatacommons.org/licenses/odbl/summary/
-
-This dataset is derived from the MIMIC III Waveform Database:
-Moody, B., Moody, G., Villarroel, M., Clifford, G. D., & Silva, I. (2020). MIMIC-III Waveform Database (version 1.0). PhysioNet. https://doi.org/10.13026/c2607m.
-
-The MIMIC III Waveform Database is licensed under the ODbL 1.0 license.
-
-The MIMIC-III database is described in the following publication:
-Johnson, A. E. W., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. https://doi.org/10.1038/sdata.2016.35
-
-It is available on PhysioNet, https://physionet.org/ :
-Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
-
-
-The following annotations of AF and non-AF were used to create the dataset:
-
-Bashar, Syed Khairul (2020): Atrial Fibrillation annotations of electrocardiogram from MIMIC III matched subset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12149091.v1
-
-Bashar, S.K., Ding, E., Walkey, A.J., McManus, D.D. and Chon, K.H., 2019. Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients. IEEE Access, 7, pp.88357-88368. https://doi.org/10.1109/ACCESS.2019.2926199
-
-This annotation information is reproduced under the terms of the CC BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/
-        """, label="Lisensi Dataset", lines=18, interactive=False)
+        gr.Markdown(
+            """
+## Daftar File Dataset
+Gunakan tombol download di bawah untuk mengunduh file dataset:
+            """
+        )
+        gr.Markdown(f"""
+    **Download Dataset:**
+    - [Download mimic_perform_af_001_data.csv](file/Data/mimic_perform_af_001_data.csv) (Atrial Fibrillation)
+    - [Download mimic_perform_non_af_001_data.csv](file/Data/mimic_perform_non_af_001_data.csv) (Non-Atrial Fibrillation)
+
+    <span style='color:#ffb300'><b>Catatan:</b></span> Jika link tidak bisa di-klik atau file tidak terunduh, silakan akses manual di folder berikut:<br>
+    <code>{os.path.abspath('Data')}</code>
+                """
+            )
+        gr.Markdown(
+            """
+**Catatan:**
+
+Dataset ini merupakan subset dari MIMIC III Waveform Database yang telah dianotasi untuk mendeteksi Atrial Fibrillation (AF) dan Non-AF. Dataset dapat digunakan untuk riset deteksi AF berbasis sinyal EKG.
+            """
+        )
+        gr.Markdown(
+            """
+<div class="license-box">
+<b>Lisensi Dataset</b>
+<br>This dataset is licensed under the Open Data Commons Open Database License v1.0 (ODbL 1.0 license).<br>
+Further details: <a href="https://opendatacommons.org/licenses/odbl/summary/" target="_blank">ODbL 1.0</a><br><br>
+This dataset is derived from the MIMIC III Waveform Database:<br>
+Moody, B., Moody, G., Villarroel, M., Clifford, G. D., & Silva, I. (2020). MIMIC-III Waveform Database (version 1.0). PhysioNet. <a href="https://doi.org/10.13026/c2607m" target="_blank">https://doi.org/10.13026/c2607m</a><br><br>
+The MIMIC III Waveform Database is licensed under the ODbL 1.0 license.<br><br>
+The MIMIC-III database is described in:<br>
+Johnson, A. E. W., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. <a href="https://doi.org/10.1038/sdata.2016.35" target="_blank">https://doi.org/10.1038/sdata.2016.35</a><br><br>
+It is available on PhysioNet: <a href="https://physionet.org/" target="_blank">https://physionet.org/</a><br>
+Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.<br><br>
+The following annotations of AF and non-AF were used to create the dataset:<br>
+Bashar, Syed Khairul (2020): Atrial Fibrillation annotations of electrocardiogram from MIMIC III matched subset. figshare. Dataset. <a href="https://doi.org/10.6084/m9.figshare.12149091.v1" target="_blank">https://doi.org/10.6084/m9.figshare.12149091.v1</a><br><br>
+Bashar, S.K., Ding, E., Walkey, A.J., McManus, D.D. and Chon, K.H., 2019. Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients. IEEE Access, 7, pp.88357-88368. <a href="https://doi.org/10.1109/ACCESS.2019.2926199" target="_blank">https://doi.org/10.1109/ACCESS.2019.2926199</a><br><br>
+This annotation information is reproduced under the terms of the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0 licence</a>
+</div> """,elem_id=None)
 
     with gr.Tab("Analyze Dataset"):
-        info_ds = gr.Textbox(label="Info Dataset", interactive=False)
+        info_ds = gr.Textbox(label="Info Dataset", interactive=False, lines=8)
         preview_ds = gr.Dataframe(label="Preview Data", interactive=False)
         plot_ds = gr.Plot(label="Plot Sinyal (ECG)")
         btn_ds = gr.Button("Analyze Dataset")
@@ -234,4 +246,4 @@ This annotation information is reproduced under the terms of the CC BY 4.0 licen
 
         tombol.click(lambda s, m: analisis_sinyal(get_file_for_model(s), m), inputs=[shared_file_path, pilih_model], outputs=[hasil, visual])
 
-    demo.launch()
+    demo.launch(css=css)