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import streamlit as st
from post_generator import *
# Options for length and language
length_options = ["Short", "Medium", "Long"]
language_options = ["English", "Hinglish"]
# Main app layout
def main():
st.title("🕵️ LinkedIn Content Generator")
st.markdown(
"""<style>
.css-1oe6wy4, .css-1y4p8pa {
background-color: #f8f9fa;
border-radius: 15px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.css-1v0mbdj {
background-color: #ffffff;
padding: 20px;
border-radius: 10px;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
}
</style>
""",
unsafe_allow_html=True,
)
st.markdown("**The code replicates the writing style of the selected author and generates posts accordingly. You can customize the raw data to match any author of your choice.**")
st.markdown("**Using llama-3.3-70b-versatile model with groc API and Prompt Engineering**")
st.markdown("---")
# Organize UI into sections
st.header("Choose Post Parameters")
fs = FewShotPosts()
tags = fs.get_tags()
# Create three columns for inputs
col1, col2, col3 = st.columns([1.5, 1, 1])
with col1:
selected_tag = st.selectbox("Select a Topic", options=tags)
with col2:
selected_length = st.selectbox("Select Length", options=length_options)
with col3:
selected_language = st.selectbox("Select Language", options=language_options)
st.markdown("---")
st.header("Generate Post")
# Generate Button and Display
if st.button("Generate"):
post = generate_post(selected_length, selected_language, selected_tag)
# Display the generated post
st.write(post)
else:
st.write("Click the button above to generate a LinkedIn post.")
st.markdown("---")
# Run the app
if __name__ == "__main__":
main()
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