Update app.py

app.py

@@ -173,7 +173,7 @@ with gr.Blocks(fill_height=True) as demo:
             btn_2.click(hide_and_show_panel, outputs=[panel_2, panel_1, user_text, input_text])  # Hide Panel 2 and show Panel 1
         with gr.Row():
             with gr.Column():               
-                start_input = gr.Textbox(label="Start Date:", placeholder="Enter date (e.g., 2023-09-01)", max_lines=1)
+                start_input = gr.Textbox(label="Start Date:", value= '2023-09-01', placeholder="Enter date (e.g., 2023-09-01)", max_lines=1)
                 gr.Markdown("Start of the data range of months that will be used as input by the model for revenue prediction.<br><br>The end month is automatically set to one month before the prediction month.")
             with gr.Column():  
                 prediction_input = gr.Text(label="Month Prediction:", placeholder="Enter date (e.g., 2024-10-31)", max_lines=1)
@@ -181,17 +181,18 @@ with gr.Blocks(fill_height=True) as demo:
             with gr.Column():  
                 range_input = gr.Slider(3, 12, 6, label="Window / Moving Average Period")
                 gr.Markdown("Window = 3-period/months, the predictive model reacts more quickly to recent monthly payment fluctuations, but it may also include more noise.<br><br>Window = 12-period/months, the Forecast adjusts more slowly and is less sensitive to small fluctuations, making it more reliable, but also slower to react to sharp changes.")
-        
-        table_1 = gr.DataFrame(value=df, label="Predictions (consult 'revenue' column):")
         btn_update = gr.Button("Run Forecast")
-       
+        gr.HTML(f"<h2>Predictions</h>")
+        gr.Markdown("It's recommended to make the prediction once the selected month has passed.")
+        table_1 = gr.DataFrame(value=df, label="Predictions (consult 'revenue' column):")
         #table_2 = gr.DataFrame(value=df_2, label="Forecast Inputs:")
         btn_update.click(fn=update_table, inputs=[start_input, prediction_input, range_input, user_text], outputs=[table_1#,table_2
                                                                                                                   ]) 
 
-    
     # Configure the buttons and the panel visibility
     btn_1.click(check_words, inputs=[user_text, input_text], outputs=[panel_2, panel_1])
 
 demo.launch()
 
+
+