added rerank model options

app.py

@@ -40,7 +40,7 @@ print(rag_extracted_data.head(5))
 EmbedAllDocumentsAndInsert(QUERY_EMBEDDING_MODEL, rag_extracted_data, db_collection, window_size=WINDOW_SIZE, overlap=OVERLAP)
 """  
 
-def EvaluateRAGModel(question, evaluation_model):
+def EvaluateRAGModel(question, evaluation_model, reranking_model):
     try:
         start_time = time.time()
 
@@ -55,7 +55,10 @@ def EvaluateRAGModel(question, evaluation_model):
         elif evaluation_model == "Deepseek 70b":
             EVAL_MODEL = "deepseek-r1-distill-llama-70b"
             PROMPT_MODEL = "deepseek-r1-distill-llama-70b"
-
+        
+        # Get selected reranking model
+        RERANKING_MODEL = RERANKING_MODELS[reranking_model]
+        
         #invoke create milvus db function
         try:
             db_collection = CreateMilvusDbSchema()
@@ -142,7 +145,7 @@ with gr.Blocks() as iface:
 
 
     # Connect submit button to evaluation function
-    submit_button.click(EvaluateRAGModel, inputs=[question_input, dropdown_input], outputs=[response, rmsecontextrel, rmsecontextutil, aucscore, processingTime])
+    submit_button.click(EvaluateRAGModel, inputs=[question_input, dropdown_input,reranker_dropdown], outputs=[response, rmsecontextrel, rmsecontextutil, aucscore, processingTime])
 
 # Run the Gradio app
 iface.launch()