| import requests | |
| import streamlit as st | |
| import time | |
| st.title("Rasa Chatbot Interface") | |
| # 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('https://omdenalc-omdena-ng-lagos-chatbot-model.hf.space/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}) |