Spaces:
Sleeping
Sleeping
import streamlit as st | |
def main(): | |
st.title("Doctor Chatbot") | |
# Initialize chat history if not already initialized | |
if "chat_messages" not in st.session_state: | |
st.session_state.chat_messages = [] | |
# Display chat history | |
for message in st.session_state.chat_messages: | |
if message["role"] == "user": | |
st.text_area("User:", message["content"], height=40, key=message["content"], disabled=True) | |
else: | |
st.text_area("AI:", message["content"], height=40, key=message["content"], disabled=True) | |
# User input | |
if prompt := st.chat_input("Welcome - How can I help you?"): | |
# Display user's message in chat message container | |
with st.chat_message("user"): | |
st.markdown(prompt) | |
# Add user message to chat history | |
st.session_state.chat_messages.append({"role": "user", "content": prompt}) | |
# Get AI response using responsr function | |
response = "responsr(prompt)" | |
# Display assistant's response in chat message container | |
with st.chat_message("assistant"): | |
st.markdown(response) | |
# Add assistant's response and audio to chat history | |
st.session_state.chat_messages.append({ | |
"role": "assistant", | |
"content": response, | |
}) | |
if __name__ == "__main__": | |
main() |