added alpha slider into 'show metrics'

app.py

@@ -277,9 +277,9 @@ def main():
                 # we could make it dependent on the model
                 reranker_topk = 3
             
-            rag_it = st.toggle('RAG it', True)
+            rag_it = st.toggle(f"RAG it with '{model_nameGPT}'", True)
             if rag_it:
-                st.write(f"Using LLM '{model_nameGPT}'")
+                # st.write(f"Using LLM '{model_nameGPT}'")
                 llm_temperature = st.slider(label='LLM T˚', min_value=0.0, max_value=2.0, value=0.01, step=0.10 )
         
         model_name_or_path = st.selectbox(label='Model Name:', options=available_models, 
@@ -349,12 +349,15 @@ def main():
         with c1:
             show_metrics = st.button('Show Metrics on Golden set')
             if show_metrics:
+                # we must add it because the hybrid search toggle could hide it
+                alpha_input2 = st.slider(label='Alpha',min_value=0.00, max_value=1.00, value=0.40, step=0.05)
+            
                 # _, center, _ = st.columns([3, 5, 3])
                 # with center:
                 #     st.text("Metrics")
                 with c2:
                     with st.spinner(''):
-                        metrics = execute_evaluation(golden_dataset, class_name, client, alpha=alpha_input)
+                        metrics = execute_evaluation(golden_dataset, class_name, client, alpha=alpha_input2)
                 with c1:
                     kw_hit_rate = metrics['kw_hit_rate']
                     kw_mrr = metrics['kw_mrr']