#from langchain.llms import OpenAI
import streamlit as st
from langchain_community.llms import OpenAI


st.title("🔗 LinkedIn  Test Post Generator two options")

def generate_linkedin_post(topic):
    # Enhanced prompt with additional context for better post generation
    prompt = (
       f"Create a LinkedIn post about {topic} that grabs attention and makes people chuckle. Here's how:" +
        f"Start with a relatable pain point:** Something the audience groans about inwardly (e.g., 'Ever spend hours on a task that should take minutes?')"+
        f"Agitate with a pinch of absurdity:** Exaggerate the pain point in a slightly ridiculous way (e.g., '...only to discover your cat was sitting on the keyboard the whole time.')"+
        f"***Offer a solution (with a twist):** Provide a real tip but phrase it unexpectedly (e.g., 'Turns out, the answer lies in [insightful tip] - and checking for rogue felines.')"+
        f"***Tone:** Confident, slightly tongue-in-cheek. Aim for a knowing smile, not a belly laugh.") 
    llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
    response = llm(prompt)
    return response

with st.form("my_form"):
    topic = st.text_area("Enter the topic for your LinkedIn post:")
    submitted = st.form_submit_button("Generate Post")
    if submitted and topic:
        post = generate_linkedin_post(topic)
        st.info(post)
    elif submitted and not topic:
        st.error("Please enter a topic to generate a post.")

with st.form("my_form1"):
    topic2 = st.text_area("Enter the topic 2 for your LinkedIn post:")
    submitted2 = st.form_submit_button("Generate Post")
    if submitted2 and topic2:
        post = generate_linkedin_post(topic)
        st.info(post)
    elif submitted2 and not topic2:
        st.error("Please enter a topic 2 to generate a post.")