| | import streamlit as st |
| | |
| | from langchain_community.llms import OpenAI |
| |
|
| |
|
| | st.title("🔗 LinkedIn Post Generator") |
| |
|
| | def generate_linkedin_post(topic): |
| | |
| | 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.") |
