Update app.py

app.py

@@ -240,7 +240,8 @@ def generate_text (prompt, chatbot, history, vektordatenbank, retriever, top_p=0
 
         #3.te Alternative für pipeline
         # Erstelle eine Pipeline mit den gewünschten Parametern
-        llm = pipeline("text-generation", model=MODEL_NAME_HF, config={"temperature": 0.5, "max_length": 1024, "num_return_sequences": 1, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty}, trust_remote_code=True)
+        #llm = pipeline("text-generation", model=MODEL_NAME_HF, config={"temperature": 0.5, "max_length": 1024, "num_return_sequences": 1, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty}, trust_remote_code=True)
+        llm = pipeline("text-generation", model="microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True)
         result = rag_chain(llm, history_text_und_prompt, retriever)
            
     except Exception as e: