Update app.py

app.py

@@ -4,64 +4,44 @@ from streamlit_extras.colored_header import colored_header
 from streamlit_extras.add_vertical_space import add_vertical_space
 from hugchat import hugchat
 
-st.set_page_config(page_title="HugChat - An LLM-powered Streamlit app")
-
-# image = "0_AI4xFlr8mYASsylX.png"  # Replace with the actual path to your image
-# st.image(image, caption="Robotic Llama", use_column_width=1)
+st.set_page_config(page_title="OpenAssistant-Chatbot-FTW-Open-Source")
 
 with st.sidebar:
     st.title('🤗💬 HugChat App')
     st.markdown('''
-    ## About
-    This app is an LLM-powered chatbot built using:
+    ## 💡LLM-powered chatbot built using:
     - [Streamlit](<https://streamlit.io/>)
     - [HugChat](<https://github.com/Soulter/hugging-chat-api>)
     - [OpenAssistant/oasst-sft-6-llama-30b-xor](<https://huggingface.co/OpenAssistant/oasst-sft-6-llama-30b-xor>) LLM model
-
-    💡 Note: No API key required!
     ''')
     add_vertical_space(5)
-    st.write('Thanks Meta for LLAMA and hugging face- hugchat')
 
 if 'generated' not in st.session_state:
-    st.session_state['generated'] = ["I'm HugChat [created by Sanyam] , How may I help you?"]
+    st.session_state['generated'] = ["Hi.  Please enter a prompt or question with context on what you need."]
 if 'past' not in st.session_state:
-    st.session_state['past'] = ['Hi!']
-
+    st.session_state['past'] = ['Hi.']
 input_container = st.container()
 colored_header(label='', description='', color_name='blue-70')
 response_container = st.container()
 
-
-# User input
-## Function for taking user provided prompt as input
 def get_text():
     input_text = st.text_input("You: ", "", key="input")
     return input_text
-
-
-## Applying the user input box
+    
 with input_container:
     user_input = get_text()
-
-
-# Response output
-## Function for taking user prompt as input followed by producing AI generated responses
+    
 def generate_response(prompt):
     chatbot = hugchat.ChatBot()
     response = chatbot.chat(prompt)
     return response
-
-
-## Conditional display of AI generated responses as a function of user provided prompts
+    
 with response_container:
     if user_input:
         response = generate_response(user_input)
         st.session_state.past.append(user_input)
         st.session_state.generated.append(response)
-
     if st.session_state['generated']:
         for i in range(len(st.session_state['generated'])):
             message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')
-            message(st.session_state['generated'][i], key=str(i))
-
+            message(st.session_state['generated'][i], key=str(i))