Update app.py

app.py

@@ -2,7 +2,6 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 from utils.constants import metadata_path, embeddings_path
-from embeddings_utils import load_model
 from question_handler import find_top_question, generate_detailed_prompt, extract_code_and_test_case
 from utils.openai_client import generate_response
 from code_executor import execute_code
@@ -11,9 +10,6 @@ from code_executor import execute_code
 metadata = pd.read_csv(metadata_path)
 embeddings = np.load(embeddings_path)
 
-# Load the SentenceTransformer model once at app startup
-device = "cuda" if torch.cuda.is_available() else "cpu"
-model = load_model(device)
 
 # Streamlit UI components
 st.title("Real-World Programming Question Mock Interview")