Update app.py

app.py

@@ -28,7 +28,7 @@ model = SentenceTransformer("all-MiniLM-L6-v2").to(device)
 with open("prompt.txt", "r") as file:
     system_prompt = file.read()
 
-st.title("LeetCode to Real-World Interview Question Generator")
+st.title("Real-World Programming Quesion Mock Interview")
 
 # Initialize chat history
 if "messages" not in st.session_state:
@@ -39,8 +39,6 @@ for message in st.session_state.messages[1:]:  # Skip the system message
     with st.chat_message(message["role"]):
         st.markdown(message["content"])
 
-from sklearn.metrics.pairwise import cosine_similarity
-
 # Function to find the top 1 most similar question based on user input
 def find_top_question(query):
     # Generate embedding for the query
@@ -105,6 +103,6 @@ if prompt := st.chat_input("Enter a LeetCode-related query (e.g., 'google backtr
 
 st.sidebar.markdown("""
 ## About
-This is a LeetCode to Real-World Interview Question Generator powered by OpenAI's API.
-Enter a LeetCode-related query, and it will transform a relevant question into a real-world interview scenario!
+This is a Real-World Interview Question Generator powered by OpenAI's API.
+Enter a company name, topic and level of difficulty, and it will transform a relevant question into a real-world interview scenario!
 """)