ui adjustment phyphox instruction adjustment

src/phyphox_app_block.py

@@ -64,40 +64,40 @@ def render_phyphox_tab(
     norm_params_path: str,
 ) -> None:
     st.subheader("Upload Phyphox sensor recording")
-    with st.expander("How to record and export your data — step by step", expanded=True):
+    with st.expander("How to record and export your data - step by step", expanded=True):
         st.markdown("""
-**Step 1 — Install Phyphox**
+**Step 1 - Install Phyphox**
 Download the free [Phyphox](https://phyphox.org/) app from the Play Store (Android) or App Store (iOS).
 
-**Step 2 — Create a new experiment**
+**Step 2 - Create a new experiment**
 - Open the app and tap the **+** icon in the top-right corner
 - Select **Add simple experiment**
 - In the active sensors list, add **Accelerometer** and **Gyroscope**
 - Set the **sensor rate to 50** (Hz) for both
 - Give the experiment a title (e.g. "Walking") then tap **Proceed**
 
-**Step 3 — Configure a timed run**
-- Tap the **⋮ (three-dot menu)** in the top-right corner and select **Timed run**
-- Set a **recording duration** (15–20 seconds recommended)
+**Step 3 - Configure a timed run**
+- Tap the **three-dot menu** in the top-right corner and select **Timed run**
+- Set a **recording duration** (15-20 seconds recommended)
 - Optionally set a **start delay** (e.g. 5 seconds) so you have time to get into position before recording begins
 
-**Step 4 — Position the device**
+**Step 4 - Position the device**
 Place your phone in your **trouser pocket** or attach it at your **waist**. This mirrors how the original UCI dataset was collected and gives the most accurate results.
 
-**Step 5 — Record one activity**
+**Step 5 - Record one activity**
 - Press the **play button** to start
-- Perform a **single activity continuously** — do not stop and restart mid-recording
+- Perform a **single activity continuously** - do not stop and restart mid-recording
 - Stay in steady motion for the full duration before stopping
 
-**Step 6 — Export the data**
-- After the recording ends, tap the **⋮ (three-dot menu)** and select **Export data**
+**Step 6 - Export the data**
+- After the recording ends, tap the **three-dot menu** and select **Export data**
 - Choose **CSV (comma separated values)** and confirm
-- You will receive a **.zip file** — unzip it to find separate CSV files for the **Accelerometer** and **Gyroscope**
+- You will receive a **.zip file** - unzip it to find separate CSV files for the **Accelerometer** and **Gyroscope**
 
-**Step 7 — Upload below**
+**Step 7 - Upload below**
 Upload each CSV file into its corresponding field below, then the pipeline will extract features and classify your activity.
 
-> ⚠️ **Important:** Each export is a fresh experiment. Do not reuse an old experiment — it will contain data from previous recordings stitched together, which will confuse the classifier.
+> ⚠️ **Important:** Each export is a fresh experiment. Do not reuse an old experiment - it will contain data from previous recordings stitched together, which will confuse the classifier.
         """)
 
     if "phyphox_run" not in st.session_state:

src/streamlit_app.py

@@ -85,7 +85,6 @@ with st.sidebar:
     GlobalAvgPool → Dense(128)
     """)
     st.markdown("---")
-    st.caption("DAT606 Group Assignment · Pan-Atlantic University")
 
 ffn_model, ffn_status = load_model("model.keras")
 cnn_model, cnn_status = load_model("har_cnn.keras")