Update app.py

app.py

@@ -93,15 +93,18 @@ def calculate(image_in, audio_in):
     waveform, sample_rate = torchaudio.load(audio_in)
     waveform = torch.mean(waveform, dim=0, keepdim=True)
     torchaudio.save("/content/audio.wav", waveform, sample_rate, encoding="PCM_S", bits_per_sample=16)
+    image_in = image_in.replace("results/", "")
+    print("****"*100)
     print(f" *#*#*# original image => {image_in}  *#*#*# ")
     if os.path.exists(image_in):
+        print(f"image exists => {image_in}")
         image = Image.open(image_in)
     else:
         print("image not exists reading web image")
         image_url = "http://labelme.csail.mit.edu/Release3.0/Images/users/DNguyen91/face/m_unsexy_gr.jpg"
         response = requests.get(image_url)
         image = Image.open(BytesIO(response.content))
-        
+    print("****"*100)
     image = pad_image(image)
     # os.system(f"rm -rf /content/image.png")
     image.save("image.png")