Update app.py

app.py

@@ -55,7 +55,7 @@ def create_prediction_interface(model, scaler, features_mapping, data):
         input_values = pd.DataFrame([args], columns=nasa_features)
         input_values_scaled = scaler.transform(input_values)
         prediction = model.predict(input_values_scaled)
-        return round(prediction[0], 2)
+        return f"${round(prediction[0], 2)} USD"
 
     with gr.Blocks(theme=gr.themes.Default()) as demo:
         gr.Markdown("### Stock Price Prediction")
@@ -82,7 +82,7 @@ def create_prediction_interface(model, scaler, features_mapping, data):
             
             with gr.Column(scale=1):
                 gr.Markdown("#### Predicted Result", elem_id="result-header")
-                output = gr.Number(label="Predicted Close_^FTSE", precision=2, interactive=False, value=0.0)
+                output = gr.Textbox(label="Predicted Close_^FTSE", interactive=False, value="$0.00 USD")
                 predict_btn.click(fn=predict_func, inputs=inputs, outputs=output)
     
     return demo
@@ -91,4 +91,4 @@ if __name__ == "__main__":
     X_train_scaled, X_test_scaled, y_train, y_test, scaler, nasa_features, data = load_and_prepare_data()
     model = train_model(X_train_scaled, y_train)
     demo = create_prediction_interface(model, scaler, data_mapping, data)
-    demo.launch()
+    demo.launch()