Add error visibility and debug logging

app.py

@@ -22,15 +22,22 @@ def classify_material(image):
         return "Please upload an image", "", ""
 
     try:
+        print(f"📤 Calling backend API with image type: {type(image)}")
+
         # Call protected space API
         result = backend.predict(image=image, api_name="/classify_material")
 
+        print(f"📥 Backend response: {result}")
+
         # result is tuple: (classification, confidence, reasoning)
         return result[0], result[1], result[2]
 
     except Exception as e:
+        import traceback
         error_msg = str(e)
-        return f"❌ Classification Error", "", f"Please try again or contact support. Error: {error_msg[:100]}"
+        full_error = traceback.format_exc()
+        print(f"❌ Error: {full_error}")
+        return f"❌ Classification Error", "", f"Error: {error_msg}"
 
 
 # Custom CSS (same as original)
@@ -170,4 +177,4 @@ with gr.Blocks(css=custom_css, title="Netra AI - Material Classifier") as demo:
 
 # Launch
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(show_error=True)