errors fixed

app.py

@@ -2,18 +2,4 @@ import streamlit as st
 
 st.title('A multipage application featuring various Natural Language Processing instruments and functions')
 
-def add_bg_from_local(image_file):
-    with open(image_file, "rb") as image_file:
-        encoded_string = base64.b64encode(image_file.read())
-    st.markdown(
-    f"""
-    <style>
-    .stApp {{
-        background-image: url(data:image/{"png"};base64,{encoded_string.decode()});
-        background-size: cover
-    }}
-    </style>
-    """,
-    unsafe_allow_html=True
-    )
-add_bg_from_local('aperiodic.png') 
+st.image('aperiodic.png') 

pages/Borgesian.py

@@ -6,11 +6,11 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 @st.cache_resource
 def load_model():
     borgesian = GPT2LMHeadModel.from_pretrained('sberbank-ai/rugpt3small_based_on_gpt2', output_attentions = False, output_hidden_states = False)
-    borgesian.load_state_dict(torch.load('borgesian_weights.pt', map_location=torch.device('cpu')))
     tokenizer = GPT2Tokenizer.from_pretrained("sberbank-ai/rugpt3small_based_on_gpt2")
     return borgesian, tokenizer
 
 borgesian, tokenizer = load_model()
+borgesian.load_state_dict(torch.load('borgesian_weights.pt', map_location=torch.device('cpu')))
 borgesian.to('cpu')
 borgesian.eval()
 
@@ -36,4 +36,3 @@ if st.button("Send"):
         generate_response(user_input, temperature, length, top_p)
     else:
         st.warning("Please enter some text.")
-st.image('penrose_tiling.jpg')