Create app.py

app.py

@@ -17,16 +17,16 @@ def predict_credit_score(interest_rate, num_credit_inquiries, delay_from_due_dat
     prediction = model.predict(features)
     return f"Predicted Credit Score Category: {int(prediction[0])}"
 
-# Set up Gradio input interface with labeled inputs
+# Define the Gradio input interface with labeled inputs
 inputs = [
-    gr.inputs.Number(label="Interest Rate"),
-    gr.inputs.Number(label="Number of Credit Inquiries"),
-    gr.inputs.Number(label="Days Delayed from Due Date"),
-    gr.inputs.Number(label="Number of Credit Cards"),
-    gr.inputs.Number(label="Number of Bank Accounts"),
-    gr.inputs.Number(label="Outstanding Debt"),
-    gr.inputs.Number(label="Number of Delayed Payments"),
-    gr.inputs.Number(label="Number of Loans")
+    gr.Number(label="Interest Rate"),
+    gr.Number(label="Number of Credit Inquiries"),
+    gr.Number(label="Days Delayed from Due Date"),
+    gr.Number(label="Number of Credit Cards"),
+    gr.Number(label="Number of Bank Accounts"),
+    gr.Number(label="Outstanding Debt"),
+    gr.Number(label="Number of Delayed Payments"),
+    gr.Number(label="Number of Loans")
 ]
 
 # Define a detailed description with the correct category explanation
@@ -42,5 +42,4 @@ Enter your details to get a prediction of your credit score category.
 # Define the Gradio interface
 gr.Interface(fn=predict_credit_score, inputs=inputs, outputs="text",
              title="Credit Score Predictor",
-             description=description)\
-    .launch()
+             description=description).launch()