Update app.py

app.py

@@ -176,16 +176,7 @@ with gr.Blocks() as demo:
     
     with qa_tab:
         # XXX Add some button disabling here, if the classification process is not completed first XXX
-        with gr.Accordion("Parameters", open="False"):
-            with gr.Row(equal_height=True):
-                with gr.Column():
-                    qa_llm_model = gr.Dropdown(["mistral", "solar", "phi3mini"], label="QA model", value="phi3mini")
-                    aggregator = gr.Dropdown(["linear", "outrank"], label="Aggregation method", value="linear")
-    
-                with gr.Column():
-                    batch_size = gr.Slider(50, 500, value=150, step=1, label="Batch size", info="Choose between 50 and 500")
-                    topk = gr.Slider(1, 10, value=5, step=1, label="Number of results to retrieve", info="Choose between 1 and 10")
-                    
+       
         gr.Markdown(
         """
         # Question Answering Demo
@@ -194,6 +185,17 @@ with gr.Blocks() as demo:
             - Select queries from predefined\n
             - Parameters for QA can be editted in sidebar\n
         """)
+        
+        with gr.Accordion("Parameters", open=False):
+            with gr.Row(equal_height=True):
+                with gr.Column():
+                    qa_llm_model = gr.Dropdown(["mistral", "solar", "phi3mini"], label="QA model", value="phi3mini", interactive=True)
+                    aggregator = gr.Dropdown(["linear", "outrank"], label="Aggregation method", value="linear", interactive=True)
+    
+                with gr.Column():
+                    batch_size = gr.Slider(50, 500, value=150, step=1, label="Batch size", info="Choose between 50 and 500", interactive=True)
+                    topk = gr.Slider(1, 10, value=5, step=1, label="Number of results to retrieve", info="Choose between 1 and 10", interactive=True)
+                    
         selected_queries = gr.CheckboxGroup(label="Select at least one query using the checkboxes", interactive=True)
         queries_state = gr.State()
         qa_tab.select(init_queries, inputs=queries_state, outputs=[selected_queries, queries_state])