Update app.py

app.py

@@ -122,11 +122,11 @@ os.environ["HUGGINGFACEHUB_API_TOKEN"] = HUGGINGFACEHUB_API_TOKEN
 #Alternativ: HuggingChat API nutzen
 pw=os.getenv("HFPW")
 email= os.getenv("HFEMail")
-sign = Login(email, pw)
-cookies = sign.login()
+#sign = Login(email, pw)
+#cookies = sign.login()
 # Save cookies to the local directory
-cookie_path_dir = "cookies_hf"
-sign.saveCookiesToDir(cookie_path_dir)
+#cookie_path_dir = "cookies_hf"
+#sign.saveCookiesToDir(cookie_path_dir)
 
 
 ################################################
@@ -470,13 +470,13 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
                 #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}
-                #llm = HuggingFaceHub(repo_id=repo_id, model_kwargs=model_kwargs) 
+                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 = 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,)
                 #llm via HuggingChat
-                llm = hugchat.ChatBot(cookies=cookies.get_dict())
-                hugchat=True   #da dieses Model in llm_chain bzw reag_chain anderes verarbeitet wird
+                #llm = hugchat.ChatBot(cookies=cookies.get_dict())
+                #hugchat=True   #da dieses Model in llm_chain bzw reag_chain anderes verarbeitet wird
                 
                 print("HF")
                 #Prompt an history anhängen und einen Text daraus machen
@@ -512,12 +512,12 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             suche_im_Netz="Antwort aus dem Internet ..."
             #Prompt an history anhängen und einen Text daraus machen
             history_text_und_prompt = generate_prompt_with_history_hf(prompt, history) 
-            if (hugchat):
+            #if (hugchat):
                 #mit hugchat
-                result = create_assistant_suche_hf(llm, history_text_und_prompt)
-            else:
-                #mit tavily: 
-                result = create_assistant_suche(history_text_und_prompt)
+                #result = create_assistant_suche_hf(llm, history_text_und_prompt)
+            #else:
+            #mit tavily: 
+            result = create_assistant_suche(history_text_und_prompt)
             
                 
         """