Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer, HfFolder
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
 # Wczytanie tokena z pliku konfiguracyjnego
 with open("config.txt", "r") as f:
@@ -11,16 +11,12 @@ with open("config.txt", "r") as f:
             config[key] = value
 
 model_name = config.get("repo_id", "")
-repo_type = config.get("repo_type", "")
 token = config.get("token", "")
 
-# Utworzenie folderu Hugging Face z tokenem uwierzytelniającym
-hf_folder = HfFolder(model_name, repo_type, token=token)
-
 # Wczytanie własnego modelu chatbota z Hugging Face
 if model_name == "pp3232133/pp3232133-distilgpt2-wikitext2":
-    tokenizer = AutoTokenizer.from_pretrained(model_name, repo_path=hf_folder)
-    model = AutoModelForCausalLM.from_pretrained(model_name, repo_path=hf_folder)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(model_name)
 
     # Funkcja obsługująca wejście i wyjście dla interfejsu Gradio
     def chatbot_interface(input_text):