import streamlit as st

################################
####### Generic functions ######
################################

def option_change():
    llm_output_text=""

def button_clicked():
    llm_output_text="Button Clicked"

################################
####### Display of data ########
################################
st.set_page_config(layout='wide')

# Title
st.title("LLM Basics Demo - with Huggingface Pipeline()")

# 3 Column Layout
col1, col2, col3 = st.columns(3)

with col1:
    options = ["Sentiment Analysis", "Zero-shot Classification", "Text Generation","Mask Filling","Named Entity Recognition","Question & Answering","Summarization","English to French Translation"]
    llm_action_type = st.selectbox("Select LLM Tasktype", options, on_change=option_change)
with col3:
    llm_button = st.button("Generate Data",on_click=button_clicked)

# Display Input in single Layout
llm_input_text = st.text_area(label="Enter your message", height=400)

# Display Output in single Layout
llm_output_text = st.text_area("Generate Output", height=400)