Upload app.py

app.py

@@ -1,3 +1,4 @@
+from io import BytesIO
 import gradio as gr
 import tensorflow as tf
 import requests
@@ -30,15 +31,22 @@ if gpus:
 
 
 def classify_image(inp):
+    Warning(inp)
     # Convert to PIL Image if we have a numpy array
     image = None
     if isinstance(inp, np.ndarray):
         image = Image.fromarray(inp)
+        Warning("Image is a numpy array")
+        Warning(image)
     if isinstance(inp, str) and (inp.startswith("http://") or inp.startswith("https://")):
         response = requests.get(inp)
         response.raise_for_status()
         image = Image.open(BytesIO(response.content))
+        Warning("Image is url")
+        Warning(image)
     else:
+        Warning("Image is ???")
+        Warning(image)
         image = inp
     
     # Resize image to 224x224