Link to code

app.py

@@ -67,7 +67,7 @@ unique_country = sorted(X_train["native.country"].unique())
 
 with gr.Blocks() as demo:
     gr.Markdown("""
-    **Income Classification with XGBoost 💰**:  This demo uses an XGBoost classifier predicts income based on demographic factors, along with Shapley value-based *explanations*. The [source code for this Gradio demo is here](https://huggingface.co/spaces/gradio/xgboost-income-prediction-with-explainability).
+    **Income Classification with XGBoost 💰**:  This demo uses an XGBoost classifier predicts income based on demographic factors, along with Shapley value-based *explanations*. The [source code for this Gradio demo is here](https://huggingface.co/spaces/gradio/xgboost-income-prediction-with-explainability/blob/main/app.py).
     """)
     with gr.Row():
         with gr.Column():