added EvalDataset Generation

app.py

@@ -372,7 +372,6 @@ class BSIChatbot:
 
         if rerankingStep == True:
             if rerankingModel is None:
-                print("initializing Reranker-Model..")
                 self.initializeRerankingModel()
             print("Starting Reranking Chunks...")
             #rerankingModel
@@ -380,6 +379,7 @@ class BSIChatbot:
             #newprint(type(retrieved_chunks_text))
             #new print(retrieved_chunks_text)
             with torch.no_grad():
+                print("reranking chunks..")
                 retrieved_chunks_text = rerankingModel.rerank(query, retrieved_chunks_text, k=15)
             #newprint("DBG:retrieved_chunks_text after rerank")
             #newprint(type(retrieved_chunks_text))
@@ -493,7 +493,7 @@ class BSIChatbot:
         #    question=query, context=context, history=history[:-1]
         # )
 
-        #newprint(f"Query:\n{final_prompt}")
+        print(f"DBG: Final-Query:\n{final_prompt}")
         pattern = r"Filename:(.*?);"
         last_value = final_prompt[-1]["content"]