Update app.py

app.py

@@ -12,7 +12,6 @@ from langchain.document_loaders.generic import GenericLoader
 from langchain.document_loaders.parsers import OpenAIWhisperParser
 from langchain.schema import AIMessage, HumanMessage
 from langchain.llms import HuggingFaceHub
-from langchain.chains import HuggingFaceChain
 from langchain.llms import HuggingFaceTextGenInference
 from langchain.embeddings import HuggingFaceInstructEmbeddings, HuggingFaceEmbeddings, HuggingFaceBgeEmbeddings, HuggingFaceInferenceAPIEmbeddings
 
@@ -321,8 +320,8 @@ def invoke (prompt, history, rag_option, model_option, openai_api_key,  temperat
             print("openAI")
         else:
             #oder an Hugging Face --------------------------
-            #llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.5, "max_length": 128}) 
-            llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
+            llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.5, "max_length": 128}) 
+            #llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
             #llm = HuggingFaceHub(url_??? = "https://wdgsjd6zf201mufn.us-east-1.aws.endpoints.huggingface.cloud", model_kwargs={"temperature": 0.5, "max_length": 64}) 
             #llm = HuggingFaceTextGenInference( inference_server_url="http://localhost:8010/", max_new_tokens=max_new_tokens,top_k=10,top_p=top_p,typical_p=0.95,temperature=temperature,repetition_penalty=repetition_penalty,)
             print("HF")