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#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.") |