added EvalDataset Generation

app.py

@@ -283,7 +283,7 @@ class BSIChatbot:
             docstore = vectorstore.docstore._dict.values()
 
         #for doc_id in vectorstore.index_to_docstore_id.values():
-        for entry in docs:
+        for entry in docstore:
             # Hole das Dokument aus dem docstore
             #print("DBG:"+doc_id)
             #document = vectorstore.get_by_ids(doc_id)
@@ -720,7 +720,7 @@ class BSIChatbot:
             print("Eval Entry no:")
             print(i)
             print("GPU Memory Allocated:")
-            print(torch.cuda.memory_allocated())
+            print(torch.cuda.memory_allocated()/1024/1024/1024)
             print("frage:")
             print(data["Frage"])
             #def ragPromptNew(self, query, rerankingStep, history, stepBackPrompt)