Update app.py

app.py

@@ -150,6 +150,9 @@ def add_query(to_add, history):
 
 def qa_summarise(selected_queries, qa_llm_model, text_field, data_df):
     
+    if not selected_queries:
+        raise gr.Error(f"Error: You have to select one or more queries to ask.")
+    
     qa_input_df = data_df[data_df["event_label"] != "none"].reset_index()
     texts = qa_input_df[text_field].to_list()
     
@@ -258,23 +261,23 @@ with gr.Blocks(fill_width=True) as demo:
             
         Note: QA process is disabled untill after the relevance classification is done
         """)
-        
-        with gr.Accordion("Parameters", open=False):
-            with gr.Row():
-                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])
-
-        query_inp = gr.Textbox(label="Add custom queries like the one above, one at a time")
-        QA_addqry_button = gr.Button("Add to queries", interactive=False)
-        QA_run_button = gr.Button("Start QA", interactive=False)
+        with gr.Group():
+            with gr.Accordion("Parameters", open=False):
+                with gr.Row():
+                    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])
+    
+            query_inp = gr.Textbox(label="Add custom queries like the one above, one at a time")
+            QA_addqry_button = gr.Button("Add to queries", interactive=False)
+            QA_run_button = gr.Button("Start QA", interactive=False)
         hsummary = gr.Textbox(label="Summary")
         
         qa_df = gr.DataFrame()