Yet another try.

app.py

@@ -250,15 +250,15 @@ def analyze(request: gradio.Request) -> matplotlib.figure.Figure:
 
    leadI = data[0]
 
-   # signals, info = neurokit2.ecg_process(leadI, sampling_rate = deepfakeecg.ECG_SAMPLING_RATE)
-   # neurokit2.ecg_plot(signals, info)
+   signals, info = neurokit2.ecg_process(leadI, sampling_rate = deepfakeecg.ECG_SAMPLING_RATE)
+   neurokit2.ecg_plot(signals, info)
 
    # DIN A4 landscape: w=11.7, h=8.27
    w = 508/25.4   # mm to inch
    h = 122/25.4   # mm to inch
-   # matplotlib.pyplot.gcf().set_size_inches(w, h, forward=True)
+   matplotlib.pyplot.gcf().set_size_inches(w, h, forward=True)
 
-   # return matplotlib.pyplot.gcf()
+   return matplotlib.pyplot.gcf()
 
 
 # ###### Print usage and exit ###############################################
@@ -430,10 +430,10 @@ with gradio.Blocks() as gui:
                        )
 
    # ====== Add click event handling for "Analyze" button ===================
-   buttonAnalyze.click(analyze,
-                       inputs  = [ ],
-                       outputs = [ analysisOutput ]
-                      )
+   # buttonAnalyze.click(analyze,
+   #                     inputs  = [ ],
+   #                     outputs = [ analysisOutput ]
+   #                    )
 
    # ====== Add click event handling for download buttons ===================
    # Using hidden button and JavaScript, to generate download file on-the-fly:

version.py

@@ -34,7 +34,7 @@
 
 DEEPFAKEECGGENPLUS_VERSION_MAJOR = 0
 DEEPFAKEECGGENPLUS_VERSION_MINOR = 5
-DEEPFAKEECGGENPLUS_VERSION_PATCH = "0~debug7"
+DEEPFAKEECGGENPLUS_VERSION_PATCH = "0~debug8"
 DEEPFAKEECGGENPLUS_VERSION       = str(DEEPFAKEECGGENPLUS_VERSION_MAJOR) + '.' + \
                                    str(DEEPFAKEECGGENPLUS_VERSION_MINOR) + '.' + \
                                    str(DEEPFAKEECGGENPLUS_VERSION_PATCH)