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import streamlit as st
import os
import sys
from dotenv import load_dotenv
from task6_model_deployment.scripts.query_engine import index_connection, initialize_retriever, index_retrieval, load_config
# Load environment variables
load_dotenv()
# Add the scripts directory to the system path
script_dir = os.path.dirname(os.path.abspath(__file__))
base_dir = os.path.dirname(script_dir)
print(base_dir)
scripts_dir = os.path.join(base_dir, 'scripts')
logo_path = os.path.join(base_dir,'TorontoCanadaChapter_CanPolicyInsight', 'task6_model_deployment', 'assets', 'logo.png')
sys.path.append(scripts_dir)
# Import functions from the query engine script
def main():
# Create a side-by-side layout using columns
col1, col2 = st.columns([1, 5]) # Adjust the width ratios of the columns as needed
# Display the logo in the first column
with col1:
if os.path.exists(logo_path):
st.image(logo_path, width=80) # Adjust the width to resize the logo
else:
st.error(f"Logo not found at: {logo_path}")
# Display the title in the second column
with col2:
st.title("Canada Policy Explorer")
# Initialize Pinecone connection and retrieverC:\Users\agshi\Desktop\Omdena\Canada Policy\TorontoCanadaChapter_CanPolicyInsight\task6_model_deployment\configs
config_path = os.path.join(base_dir,'TorontoCanadaChapter_CanPolicyInsight','task6_model_deployment','configs','config.yaml')
config = load_config(config_path)
pinecone_index = index_connection(config_path)
retriever = initialize_retriever(pinecone_index)
st.write("Welcome to the Canada Policy Navigator. Explore policy insights and more.")
# User input for query
query_text = st.text_input("Enter your query:", "")
if st.button("Submit"):
if query_text:
response = index_retrieval(retriever, query_text)
st.write(response.response)
else:
st.warning("Please enter a query.")
if __name__ == "__main__":
main()
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