import streamlit as st #from langchain.llms import OpenAI from langchain_community.llms import OpenAI from auth import * if __name__ == '__app__': st.title("🔗 LinkedIn Post Generator") st.write(get_login_str(), unsafe_allow_html=True) if st.button("Display User"): display_user() def generate_linkedin_post(topic): # Enhanced prompt with additional context for better post generation prompt = ( f"Create a professional, engaging LinkedIn post about {topic}. " "It should start with a attention grabbing hook based on audience pain" "Then a line to agitate the user. This should be in the next line" "The post should be concise, informative, and suitable for a professional audience. " "It should provide value, insights, or thought-provoking content related to the topic. " "And only contain 3 points." "The tone should be positive and encouraging, suitable for networking and professional growth." ) 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.")