import requests import streamlit as st import time st.title("Rasa Chatbot Interface") # Change api url to yours here url = 'https://omdena-lc-omdena-ng-lagos-chatbot-model.hf.space' # Initialize chat history if "messages" not in st.session_state: st.session_state.messages = [] # Display chat messages from history on app rerun for message in st.session_state.messages: with st.chat_message(message["role"]): st.markdown(message["content"]) # Accept user input if user_input := st.chat_input("What is up?"): # Add user message to chat history st.session_state.messages.append({"role": "user", "content": user_input}) # Display user message in chat message container with st.chat_message("user"): st.markdown(user_input) # Send user input to Rasa webhook payload = {"sender": "user", "message": user_input} response = requests.post(url+'/webhooks/rest/webhook', json=payload) bot_reply = response.json() # Extract assistant response if bot_reply !=[]: assistant_response = bot_reply[0]["text"] # Handle empty api responses else: assistant_response = 'API request returned with an empty list []. Please continue with a different question' # Display assistant response in chat message container with st.chat_message("assistant"): message_placeholder = st.empty() full_response = "" # Simulate stream of response with milliseconds delay for chunk in assistant_response.split(): full_response += chunk + " " time.sleep(0.05) # Add a blinking cursor to simulate typing message_placeholder.markdown(full_response + "▌") message_placeholder.markdown(full_response) # Add assistant response to chat history st.session_state.messages.append({"role": "assistant", "content": full_response}) # Add debug button to display RASA version, Model Name with st.expander("Debug"): if st.button("Show Debug Info"): request_ids = ['/status', '/version'] results = [requests.get(url+request_id).json() for request_id in request_ids] st.write(results) else: st.write("")