Update app.py

app.py

@@ -5,6 +5,7 @@ import pandas as pd
 
 from classifier import classify
 from statistics import mean
+from genra_incremental import GenraPipeline
 
 
 HFTOKEN = os.environ["HF_TOKEN"]
@@ -175,7 +176,16 @@ 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