Update app.py

app.py

@@ -75,8 +75,8 @@ YOUTUBE_URL_3 = "https://www.youtube.com/watch?v=vw-KWfKwvTQ"
 ################################################
 #LLM Model mit dem gearbeitet wird
 #openai
-MODEL_NAME  = "gpt-3.5-turbo-16k"
-#MODEL_NAME  ="gpt-4"
+#MODEL_NAME  = "gpt-3.5-turbo-16k"
+MODEL_NAME  ="gpt-4"
 
 #HuggingFace
 repo_id = "meta-llama/Llama-2-13b-chat-hf"   
@@ -258,10 +258,10 @@ def invoke (prompt, history, openai_api_key, rag_option, temperature=0.9, max_ne
         #LLM auswählen (OpenAI oder HF)
         ###########################
         #Anfrage an OpenAI
-        #llm = ChatOpenAI(model_name = MODEL_NAME,  openai_api_key = openai_api_key, temperature = 0)
+        llm = ChatOpenAI(model_name = MODEL_NAME,  openai_api_key = openai_api_key, temperature = 0)
         #oder an Hugging Face
         #llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.5, "max_length": 64}) 
-        llm = HuggingFaceHub(url = "https://wdgsjd6zf201mufn.us-east-1.aws.endpoints.huggingface.cloud", model_kwargs={"temperature": 0.5, "max_length": 64}) 
+        #llm = HuggingFaceHub(url_??? = "https://wdgsjd6zf201mufn.us-east-1.aws.endpoints.huggingface.cloud", model_kwargs={"temperature": 0.5, "max_length": 64}) 
         
         #zusätzliche Dokumenten Splits aus DB zum Prompt hinzufügen (aus VektorDB - Chroma oder Mongo DB)
         if (rag_option == "Chroma"):