Spaces:
Running
Running
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.") |