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import streamlit as st
import llm_generator
from llm_generator import llm_generation
import time
# ST : https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps
st.title('Mental Health Therapist')
def response_generator(response):
'''
responds the text with a type writter effect
'''
response_buffer = response.strip()
for word in response_buffer.split():
yield word + " "
time.sleep(0.1)
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = []
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Accept user input
if user_prompt := st.chat_input("Hello, How are you doing today"):
st.session_state.messages.append({"role": "user", "content": user_prompt})
with st.chat_message("user"):
st.markdown(user_prompt)
with st.chat_message("assistant"):
response = llm_generation(user_prompt)
time.sleep(1)
st.write_stream(response_generator(response))
st.session_state.messages.append({"role": "assistant", "content": response})