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import streamlit as st | |
from meta_ai_api import MetaAI | |
from urllib.parse import urlparse | |
# Initialize Meta AI API | |
ai = MetaAI() | |
PAGE_CONFIG = { | |
"page_title": "Meta AI Query Analysis - a Free SEO Tool by WordLift", | |
"page_icon": "img/fav-ico.png", | |
"layout": "centered" | |
} | |
def local_css(file_name): | |
with open(file_name) as f: | |
st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True) | |
st.set_page_config(**PAGE_CONFIG) | |
local_css("style.css") | |
def fetch_response(query): | |
response = ai.prompt(message=query) | |
return response | |
def display_sources(sources): | |
if sources: | |
for source in sources: | |
# Parse the domain from the URL | |
domain = urlparse(source['link']).netloc | |
# Format and display the domain and title | |
st.markdown(f"- **{domain}**: [{source['title']}]({source['link']})", unsafe_allow_html=True) | |
else: | |
st.write("No sources available.") | |
# ---------------------------------------------------------------------------- # | |
# Main Function | |
# ---------------------------------------------------------------------------- # | |
def main(): | |
# Path to the image | |
image_path = 'img/meta-ai-logo.webp' # Replace with your image's filename and extension | |
# Create two columns | |
col1, col2 = st.columns([1, 2]) # Adjust the ratio as needed for your layout | |
# Use the first column to display the image | |
with col1: | |
st.image(image_path, width=60) | |
# Use the second column to display the title and other content | |
with col2: | |
st.title("Meta AI SEO Tool") | |
# User input | |
user_query = st.text_area("Enter your query:", height=150) | |
submit_button = st.button("Analyze Query") | |
if submit_button and user_query: | |
# Fetching response from Meta AI | |
response = fetch_response(user_query) | |
st.write(response.get('message', 'No response message.')) | |
# Display the AI response in a collapsible section | |
with st.expander("Show Sources"): | |
# Display sources with clickable links in a collapsible section | |
display_sources(response.get('sources', [])) | |
if __name__ == "__main__": | |
main() | |