Update app.py

app.py

@@ -1,4 +1,4 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer
+#from transformers import AutoModelForCausalLM, AutoTokenizer
 
 from langchain.chat_models import ChatOpenAI
 from langchain.chains import ConversationChain
@@ -7,13 +7,15 @@ from langchain.prompts import PromptTemplate
 
 import gradio as gr
 
-REPO_ID = "Xenova/gpt-3.5-turbo"
+#REPO_ID = "Xenova/gpt-3.5-turbo"
 
 # Load the model and tokenizer from Hugging Face's model hub
-model = AutoModelForCausalLM.from_pretrained(REPO_ID)
-tokenizer = AutoTokenizer.from_pretrained(REPO_ID)
+#model = AutoModelForCausalLM.from_pretrained(REPO_ID)
+#tokenizer = AutoTokenizer.from_pretrained(REPO_ID)
 
-llm = ChatOpenAI(model=model, tokenizer=tokenizer)
+#llm = ChatOpenAI(model=model, tokenizer=tokenizer)
+
+llm = ChatOpenAI(model_name="gpt-3.5-turbo", openai_api_key="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")
 
 if 'buffer_memory' not in st.session_state:
     st.session_state.buffer_memory = ConversationBufferWindowMemory(k=8)