Update app.py

app.py

@@ -123,7 +123,6 @@ def gradio_train_stock_model(stock_symbol, start_date, end_date, feature_range_m
         learning_rate=learning_rate
     )
     return f"Training initiated for {stock_symbol} from {start_date} to {end_date}."
-
 iface = gr.Interface(
     fn=gradio_train_stock_model,
     inputs=[
@@ -138,7 +137,25 @@ iface = gr.Interface(
         gr.Slider(minimum=1e-5, maximum=1e-1, step=1e-5, label="Learning Rate", value=2e-4)
     ],
     outputs="text",
-    live=True
+    live=False, 
+    layout="vertical" 
+)
+
+iface.add_button(
+    label="Train Model",
+    fn=gradio_train_stock_model,
+    inputs=[
+        gr.Textbox(label="Stock Symbol", value="LUNC-USD"),
+        gr.Textbox(label="Start Date", value="2023-01-01"),
+        gr.Textbox(label="End Date", value="2024-08-24"),
+        gr.Slider(minimum=0, maximum=100, step=1, label="Feature Range Min", value=10),
+        gr.Slider(minimum=0, maximum=100, step=1, label="Feature Range Max", value=100),
+        gr.Slider(minimum=1, maximum=512, step=1, label="Data Sequence Length", value=256),
+        gr.Slider(minimum=1, maximum=50, step=1, label="Epochs", value=10),
+        gr.Slider(minimum=1, maximum=64, step=1, label="Batch Size", value=16),
+        gr.Slider(minimum=1e-5, maximum=1e-1, step=1e-5, label="Learning Rate", value=2e-4)
+    ],
+    outputs="text"
 )
 
 iface.launch()