Enable verbose errors in Gradio app

app.py

@@ -3,10 +3,8 @@ import numpy as np
 import onnxruntime as ort
 from PIL import Image
 
-# Load your ONNX model
 sess = ort.InferenceSession("visionguard_simplified.onnx", providers=["CPUExecutionProvider"])
 
-# Preprocess + inference
 def detect_corruption(img: Image.Image):
     img = img.resize((128,128)).convert("RGB")
     arr = np.array(img).astype(np.float32)/255.0
@@ -17,7 +15,6 @@ def detect_corruption(img: Image.Image):
     prob   = float(1/(1+np.exp(-logits[0,0])))
     return {"clean": 1-prob, "corrupted": prob}
 
-# Gradio interface
 iface = gr.Interface(
     fn=detect_corruption,
     inputs=gr.Image(type="pil"),
@@ -27,4 +24,4 @@ iface = gr.Interface(
 )
 
 if __name__=="__main__":
-    iface.launch()
+    iface.launch(show_error=True)