Update app.py

app.py

@@ -21,7 +21,7 @@ st.set_page_config(page_title="DocWizard Instant Insights and Analysis", layout=
 
 # Header and Instructions
 st.markdown("""
-## Document Intelligence Explorer: Real-Time Insights and Analysis
+## Document Intelligence Explorer 🤖
 
 This chatbot utilizes the Retrieval-Augmented Generation (RAG) framework with Google's Generative AI model Gemini-PRO. It processes uploaded PDF documents by segmenting them into chunks, creating a searchable vector store, and generating precise answers to your questions. This method ensures high-quality, contextually relevant responses for an efficient user experience.
 
@@ -99,7 +99,7 @@ def main():
     """
     Main function to run the Streamlit app.
     """
-    st.header("AI Chatbot 💁")
+    st.header("AI Assistant 🤖")
 
     user_question = st.text_input("Ask a Question from the PDF Files", key="user_question")