move run all at once

app.py

@@ -80,7 +80,7 @@ def bot(history, model_name, oepnai_api_key,
     # Retrieve documents relevant to query
     document_start = perf_counter()
 
-    if reranker_enabled:
+    if reranker_enabled and not all_at_once:
         documents = retrieve(query, int(num_docs), model_kind, sub_vector_size, chunk_size, splitter_type,reranker_kind,num_prerank_docs)
     else:
         documents = retrieve(query, int(num_docs), model_kind, sub_vector_size, chunk_size, splitter_type)
@@ -150,13 +150,13 @@ with gr.Blocks() as demo:
         sub_vector_size = gr.Radio(choices=sub_vectors, value="32", label="sub-vector size")
         chunk_size = gr.Radio(choices=chunk_sizes, value="2000", label="chunk size")
         splitter_type = gr.Radio(choices=splitters, value="nltk", label="splitter")
+        all_at_once = gr.Checkbox(value=False, label="Run all at once (no reranker)")
     with gr.Row():
         reranker_enabled = gr.Checkbox(value=False, label="Reranker enabled")
         reranker_kind = gr.Radio(choices=emb_models, value="bge", label="Reranker model")
         num_prerank_docs = gr.Slider(5, 80, label="Number of docs before reranker", step=1, value=20)
     with gr.Row():
         num_docs = gr.Slider(1, 20, label="number of docs", step=1, value=4)
-        all_at_once = gr.Checkbox(value=False, label="Run all at once")
         model_name = gr.Radio(choices=inf_models, value=inf_models[0], label="Chat model")
         oepnai_api_key = gr.Textbox(
                 show_label=False,