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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 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.") |