Update utils.py

utils.py

@@ -405,8 +405,10 @@ def rag_chain(llm, prompt,  retriever):
         #answer =  query(llm, {"inputs": input_text,})
 
         #3. Alternative: mit pipeline
-        messages = [{"role": "user", "content": input_text},]
-        answer = llm(messages)
+        #für text-generation: 
+        #messages = [{"role": "user", "content": input_text},]
+        #für summarizatiuon
+        answer = llm(input_text, max_length=512, min_length=150, do_sample=False)
 
         # Erstelle das Ergebnis-Dictionary
         result = {