Update app.py

app.py

@@ -11,7 +11,7 @@ def predict(image):
     # For simplicity, let's assume the model can handle raw image input
     # If not, you will need to convert the image to a compatible format (base64 or upload to a server)
     
-    image_bytes = image.read()  # Read image as bytes
+    image_bytes = image.tobytes()  # Convert PIL image to bytes (this might require adjustment)
     
     # If you need to convert the image to base64 (if model requires it)
     import base64
@@ -23,6 +23,7 @@ def predict(image):
     return response.json()
 
 # Create the Gradio interface with an image input
-iface = gr.Interface(fn=predict, inputs=gr.Image(type="file"), outputs="json")
+iface = gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs="json")
 iface.launch()
 
+