Update app.py

app.py

@@ -231,17 +231,6 @@ def get_column_names(file_obj):
         print(f"Error in get_column_names: {e}")
         return []
 
-def update_dropdown_choices(file_obj):
-    """
-    Updates the dropdown choices based on the uploaded file.
-    """
-    try:
-        columns = get_column_names(file_obj)
-        return gr.Dropdown.update(choices=columns), gr.Dropdown.update(choices=columns)
-    except Exception as e:
-        logger.error(f"Error updating dropdown choices: {e}", exc_info=True)
-        return gr.Dropdown.update(choices=[]), gr.Dropdown.update(choices=[])
-
 def create_interface():
     with gr.Blocks() as iface:
         gr.Markdown("""
@@ -250,16 +239,6 @@ def create_interface():
         """)
 
         file_input = gr.File(label="Upload Time Series Data (CSV, Excel, JSON, YAML)")
-        with gr.Row():
-            time_col_dropdown = gr.Dropdown(choices=[], label="Select Timestamp Column")
-            target_col_dropdown = gr.Dropdown(choices=[], label="Select Value Column")
-
-        update_dropdown_button = gr.Button("Update Dropdowns")
-        update_dropdown_button.click(
-            update_dropdown_choices,
-            inputs=[file_input],
-            outputs=[time_col_dropdown, target_col_dropdown]
-        )
 
         with gr.Row():
             forecast_horizon_input = gr.Number(label="Forecast Horizon", value=10)
@@ -282,7 +261,7 @@ def create_interface():
         # Button to trigger the full pipeline
         btn = gr.Button("Generate Forecast")
         btn.click(
-            fn=lambda *args: (update_dropdown_choices(file_input.value), full_forecast_pipeline(*args)),  # Call update_dropdown_choices first
+            fn=full_forecast_pipeline,
             inputs=[file_input, forecast_horizon_input, finetune_steps_input, freq_dropdown, start_date_input, end_date_input, start_time_input, end_time_input, resample_freq_dropdown],
             outputs=[output_html, output_plot, download_button, error_output]
         )