Update app.py

app.py

@@ -34,6 +34,21 @@ def predict_image(image):
     else:
         return f'Tumor detected. Confidence: {confidence:.2f}'
 
+# Create custom CSS for background color
+#css = """
+#body {
+#    background-color: dark;
+#}
+#"""
+
+# Provide example images (these should be paths to valid images)
+examples = [
+    ["/content/drive/MyDrive/archive/brain_tumor_dataset/no/1 no.jpeg"],  # Replace with actual example image paths
+    ["/content/drive/MyDrive/archive/brain_tumor_dataset/yes/Y1.jpg"],
+    ["/content/drive/MyDrive/archive/brain_tumor_dataset/no/15 no.jpg"],
+    ["/content/drive/MyDrive/archive/brain_tumor_dataset/yes/Y104.jpg"]
+]
+
 # Create the Gradio interface
 iface = gr.Interface(
     fn=predict_image,
@@ -41,8 +56,12 @@ iface = gr.Interface(
     outputs=gr.Textbox(),
     title="Brain Tumor Detection AI App",
     description="Upload an image to detect brain tumors.",
+    #css=css,  # Apply the custom background color
+    theme="monochrome",  # Apply a dark theme to the interface
+    flagging_options=["Incorrect Diagnosis", "Image Not Clear", "Model Error"],  # Add flagging options
+    examples=examples  # Include 4 example images
 )
 
 # Launch the interface
-iface.launch()
+iface.launch(share=True,debug=True)