added EvalDataset Generation

app.py

@@ -127,12 +127,13 @@ class BSIChatbot:
         #db = Qdrant(client=client, collection_name=self.collection_name, embeddings=embeddings, )
 
         #Embedding, Vector generation and storing:
-        self.embedding_model = HuggingFaceEmbeddings(
-            model_name=self.word_and_embed_model_path,
-            multi_process=False,
-            model_kwargs={"device": "cuda"},
-            encode_kwargs={"normalize_embeddings": True},  # Set `True` for cosine similarity
-        )
+        if self.embedding_model is None:
+            self.embedding_model = HuggingFaceEmbeddings(
+                model_name=self.word_and_embed_model_path,
+                multi_process=False,
+                model_kwargs={"device": "cuda"},
+                encode_kwargs={"normalize_embeddings": True},  # Set `True` for cosine similarity
+            )
 
         #index_cpu = faiss.IndexFlatL2(1024)
         #res = faiss.StandardGpuResources()
@@ -554,9 +555,9 @@ class BSIChatbot:
             print(data["Frage"])
             #def ragPromptNew(self, query, rerankingStep, history, stepBackPrompt)
             try:
-                print(using("PreRag"))
+                print(self.using("PreRag"))
                 data["Answer"],data["Context"]  = self.ragPromptNew(data["Frage"],True,None,True, True)
-                print(using("AfterRag"))
+                print(self.using("AfterRag"))
                 data["Answer"]=data["Answer"].choices[0].message.content
             except Exception as e:
                 print(f"Fehler bei Eintrag {i}: {e}")