I want to create a simple streamlit app that offers a chat bot. When I input to the chat bot, while the chat bot is thinking for a response, disable the input field. Once a response if displayed, allow for user input again.
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import streamlit as st
import random
import time
# Streamed response emulator
def response_generator():
responses = [
"Hello there! How can I assist you today?",
"Hi, human! Is there anything I can help you with?",
"Do you need help?",
]
response = random.choice(responses)
response_text = ""
for word in response.split():
response_text += word + " "
time.sleep(0.1)
yield response_text
st.title("Simple Chat Bot")
# Initialize chat history and input disabled status in session state
if "messages" not in st.session_state:
st.session_state.messages = []
if "input_disabled" not in st.session_state:
st.session_state.input_disabled = False
if "response_text" not in st.session_state:
st.session_state.response_text = ""
# 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 input is not disabled
if prompt := st.chat_input("What is up?", disabled=st.session_state.input_disabled):
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Disable chat input during response generation and start response generator
st.session_state.input_disabled = True
st.session_state.response_text = ""
st.session_state.generator = response_generator() # Store generator in session state
st.experimental_rerun()
# Generate response if input is disabled
if st.session_state.input_disabled and "generator" in st.session_state:
try:
# Get the next chunk from the response generator
chunk = next(st.session_state.generator)
st.session_state.response_text = chunk # Update the accumulated response text
# Display assistant's response incrementally
with st.chat_message("assistant"):
st.markdown(st.session_state.response_text)
# Rerun to display the next chunk
st.experimental_rerun()
except StopIteration:
# Generator has finished, complete the response
st.session_state.messages.append({"role": "assistant", "content": st.session_state.response_text})
# Clean up and re-enable the input
st.session_state.input_disabled = False
del st.session_state.generator
st.experimental_rerun()
Hi! I can help you with any questions about Streamlit and Python. What would you like to know?