| |
| import streamlit as st |
| from langchain_community.llms import OpenAI |
|
|
|
|
| st.title("🔗 LinkedIn Test Post Generator two options") |
|
|
| 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.") |
|
|
| 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.") |
