Update app.py

app.py

@@ -23,20 +23,36 @@ def classify_image(image):
     confidence = np.max(prediction[0])
 
     if confidence < 0.6:
-        return "Unable to detect", confidence
-
-    return class_names[predicted_class.numpy()], confidence
+        report = {
+            'result': "Unable to detect",
+            'confidence': confidence,
+            'details': "The model was unable to confidently classify the image."
+        }
+    else:
+        class_name = class_names[predicted_class.numpy()]
+        report = {
+            'result': class_name,
+            'confidence': confidence,
+            'details': f"The image is classified as {class_name} with a confidence of {confidence:.2f}."
+        }
+
+    return report
 
 
 iface = gr.Interface(
     fn=classify_image,
     inputs="image",
-    outputs=["text", "number"],
+    outputs=[
+        gr.outputs.Textbox(label="Result"),
+        gr.outputs.Number(label="Confidence"),
+        gr.outputs.Textbox(label="Details")
+    ],
     examples=[
         ['examples/0.jpg'],
         ['examples/1.jpg'],
         ['examples/2.jpg'],
-        ['examples/3.jpg'],
+        ['examples/3.jpg']
+    ]
+)
 
-    ])
 iface.launch()