Upload app.py

app.py

@@ -19,7 +19,7 @@ def predict(*args: tuple) -> Any:
     model = joblib.load(MODEL_PATH)
     predictions = model.predict_proba(app_df)
     print(predictions)
-    if predictions[0][0] <= 0.99:
+    if predictions[0][0] < 0.99:
         message = "Client is considered bad. Issuance of credit is not recommended."
     else:
         message = "Client is considered good. Issuance of credit is allowed."
@@ -58,7 +58,7 @@ with gr.Blocks() as demo:
             annual_income = gr.Slider(
                 label="Annual income",
                 minimum=0,
-                maximum=7000000,
+                maximum=1000000,
                 step=10000,
                 randomize=True,
             )