Update app.py

app.py

@@ -12,9 +12,9 @@ model = AutoModelForCausalLM.from_pretrained(REPO_NAME, trust_remote_code=True)
 generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 # Configure the Streamlit app
-st.set_page_config(page_title="HuggingFace ChatBot", page_icon="🤗")
-st.title("Personal HuggingFace ChatBot")
-st.markdown(f"*This is a simple chatbot that uses the HuggingFace transformers library to generate responses to your text input. It uses the {REPO_NAME} model.*")
+st.set_page_config(page_title="Experimental Model - Under Construction", page_icon="🤗")
+st.title("Experimental Model - Under Construction")
+st.markdown(f"*This chat uses the {REPO_NAME} model. Feel free to ask questions such as 'What is biology?' or 'What is the human body?'*")
 
 # Initialize session state for avatars
 if "avatars" not in st.session_state: