Added ECG information (25 mm/sec, 1 mV/10 mm) to plot.

app.py

@@ -154,6 +154,7 @@ def predict(numberOfECGs:         int = 1,
    # ====== Create a list of image/label tuples for gradio.Gallery ==========
    plotList  = []
    ecgNumber = 1
+   info      = '25 mm/sec, 1 mV/10 mm'
    for result in Sessions[request.session_hash].Results:
 
       # ====== Plot ECG =====================================================
@@ -166,7 +167,7 @@ def predict(numberOfECGs:         int = 1,
       # ------ ECG-12 -------------------------------------------------------
       if ecgType == deepfakeecg.DATA_ECG12:
          ecg_plot.plot(result,
-                       title       = 'ECG-12',
+                       title       = 'ECG-12 – ' + info,
                        sample_rate = deepfakeecg.ECG_SAMPLING_RATE,
                        lead_index  = [ 'I', 'II', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'III', 'aVR', 'aVL', 'aVF' ],
                        lead_order  = [0, 1, 8, 9, 10, 11, 2, 3, 4, 5, 6, 7],
@@ -174,7 +175,7 @@ def predict(numberOfECGs:         int = 1,
       # ------ ECG-8 --------------------------------------------------------
       else:
          ecg_plot.plot(result,
-                       title       = 'ECG-8',
+                       title       = 'ECG-8 – ' + info,
                        sample_rate = deepfakeecg.ECG_SAMPLING_RATE,
                        lead_index  = [ 'I', 'II', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6' ],
                        lead_order  = [0, 1, 2, 3, 4, 5, 6, 7],