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)
 
-   return matplotlib.pyplot.gcf()
+   # return matplotlib.pyplot.gcf()
 
 
 # ###### Print usage and exit ###############################################

version.py

@@ -34,7 +34,7 @@
 
 DEEPFAKEECGGENPLUS_VERSION_MAJOR = 0
 DEEPFAKEECGGENPLUS_VERSION_MINOR = 5
-DEEPFAKEECGGENPLUS_VERSION_PATCH = "0~debug6"
+DEEPFAKEECGGENPLUS_VERSION_PATCH = "0~debug7"
 DEEPFAKEECGGENPLUS_VERSION       = str(DEEPFAKEECGGENPLUS_VERSION_MAJOR) + '.' + \
                                    str(DEEPFAKEECGGENPLUS_VERSION_MINOR) + '.' + \
                                    str(DEEPFAKEECGGENPLUS_VERSION_PATCH)