Update utils.py

utils.py

@@ -400,17 +400,17 @@ def rag_chain(llm, prompt,  retriever):
         outputs = modell_rag.generate(inputs['input_ids'], max_length=150, num_beams=2, early_stopping=True)
         answer = tokenizer_rag.decode(outputs[0], skip_special_tokens=True)
         """
-        llm_chain = LLMChain(llm = llm, prompt = RAG_CHAIN_PROMPT)
-        answer = llm_chain.run({"context": combined_content, "question": prompt})
-
-        #answer =  query(llm, {"inputs": input_text,})
+        #Alternative, wenn llm direkt übergeben....................................
+        #llm_chain = LLMChain(llm = llm, prompt = RAG_CHAIN_PROMPT)
+        #answer = llm_chain.run({"context": combined_content, "question": prompt})
+        #Alternative, wenn mit API_URL ...........................................
+        answer =  query(llm, {"inputs": input_text,})
 
         # Erstelle das Ergebnis-Dictionary
         result = {
             "answer": answer,
             "relevant_docs": most_relevant_docs
         }
-   
     else:
         # keine relevanten Dokumente gefunden
         result = {