Update app.py

app.py

@@ -179,12 +179,12 @@ with gr.Blocks(fill_height=True) as demo:
                 prediction_input = gr.Text(label="Month Prediction:", placeholder="Enter date (e.g., 2024-10-31)", max_lines=1)
                 gr.Markdown("Case creation month to predict its revenue.")
             with gr.Column():  
-                range_input = gr.Slider(3, 12, 6, label="Window / Moving Average Period")
+                range_input = gr.Slider(3, 12, 6, step=1, 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.")
         btn_update = gr.Button("Run Forecast")
-        gr.HTML(f"<h2>Predictions</h>")
+        gr.HTML(f"<h3>Predictions</h3>")
         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_1 = gr.DataFrame(value=df, label="Predictions - consult 'Prediction 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
                                                                                                                   ])