Update app.py

app.py

@@ -184,9 +184,14 @@ def generate_text (prompt, chatbot, history, vektordatenbank, retriever, top_p=0
     try:
         #oder an Hugging Face --------------------------
         print("HF Anfrage.......................")
-        #model_kwargs={"temperature": 0.5, "max_length": 512, "num_return_sequences": 1, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty}
+        model_kwargs={"temperature": 0.5, "max_length": 512, "num_return_sequences": 1, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty}
         #llm = HuggingFaceHub(repo_id=repo_id, model_kwargs=model_kwargs) 
-        llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
+        #llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
+        # Erstelle eine Pipeline mit den gewünschten Parametern
+        pipe = pipeline("text-generation", model=model_name, model_kwargs=model_kwargs)
+
+        # Erstelle eine HuggingFacePipeline-Kette
+        llm = HuggingFacePipeline(pipeline=pipe)
         
         #Prompt an history anhängen und einen Text daraus machen
         history_text_und_prompt = generate_prompt_with_history(prompt, history)