Update app.py

app.py

@@ -10,7 +10,7 @@ import base64
 # Load environment variables
 load_dotenv()
 
-icons = {"assistant": "👽", "user": "웃"}
+icons = {"assistant": "assistant-logo.jpg", "user": "human-logo.jpg"}
 
 # Configure the Llama index settings
 Settings.llm = HuggingFaceInferenceAPI(
@@ -105,12 +105,12 @@ with st.sidebar:
 user_prompt = st.chat_input("Ask me anything about the content of the PDF:")
 if user_prompt and uploaded_file:
     st.session_state.messages.append({'role': 'user', "content": user_prompt})
-    with st.chat_message("user", avatar="웃"):
+    with st.chat_message("user", avatar="human-logo.jpg"):
         st.write(user_prompt)
 
 # Generate a new response if last message is not from assistant
 if st.session_state.messages[-1]["role"] != "assistant":
-    with st.chat_message("assistant",avatar="👽"):
+    with st.chat_message("assistant",avatar="assistant-logo.jpg"):
         response = handle_query(user_prompt)
         full_response = st.write_stream(response)
     message = {"role": "assistant", "content": full_response}