app.py

# app.py

import streamlit as st
import requests
import ollama

# Set up Streamlit Application
st.set_page_config(page_title="Streamlit UI with API Interaction", layout="centered")
st.title("Linkedin Post ")

# Example text for the left input box
example_text = "Work life balance"

# Initialize session state variables if not already done
if 'right_input' not in st.session_state:
    st.session_state.right_input = ""
if 'image_prompt' not in st.session_state:
    st.session_state.image_prompt = ""

# Function to update content based on input text
def update_content():
    st.session_state.right_input = ''
    st.session_state.image_prompt = ''

    content = st.session_state.left_input
    response_post = ollama.chat(model='linkedinpost', messages=[{'role': 'user', 'content': content}])
    response_prompt = ollama.chat(model='llama2', messages=[{'role': 'user', 'content': f"write an image prompt to showcase this in 2 lines {content}"}])
    
    st.session_state.right_input = response_post['message']['content']
    st.session_state.image_prompt = response_prompt['message']['content']

update_content()

# Input text area
st.text_area("Topic to craft post", value=example_text, height=100, key='left_input', on_change=update_content)

# Display response and image prompt
st.markdown("##### Response")
st.write(st.session_state.right_input)
st.markdown("##### Image Prompt")
st.write(st.session_state.image_prompt)

# Create a button to manually trigger content update
if st.button("Generate Content"):
    update_content()