LLM / app.py
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import streamlit as st
from llm_generator import LLM_generator
# ST : https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps
st.title('Therapist')
# user_prompt = st.text_input('Say Hello to start your conversation')
with st.chat_message('user'):
user_prompt = st.text_input('Say Hello to start your conversation')
if st.button('Response') and user_prompt:
with st.spinner("I'm thinking..."):
output = LLM_generator(user_prompt)
with st.chat_message("assistant"):
# st.write("Hello human")
st.write(output)
with st.chat_message("user"):
st.write("Hello human")
#st.write(output)