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import streamlit as st
import requests
import sys
import os
# Add the project root to Python path
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from app.config import validate_config
from app.logging import setup_logging
def main():
# Setup logging
setup_logging()
st.set_page_config(
page_title="CRE Knowledge Assistant",
page_icon="🤖",
layout="wide"
)
st.title("CRE Knowledge Assistant")
# File uploader
uploaded_file = st.file_uploader("Upload a PDF document", type="pdf")
if uploaded_file:
# Convert file to bytes
file_bytes = uploaded_file.getvalue()
# Send to API endpoint
response = requests.post(
"api/process_pdf",
files={"file": (uploaded_file.name, file_bytes, "application/pdf")}
)
if response.status_code == 200:
st.success("PDF processed successfully!")
else:
st.error("Error processing PDF")
# Query input
query = st.text_input("Ask a question about your documents:")
if query:
# Send query to API endpoint
response = requests.post(
"api/query",
json={"query": query}
)
if response.status_code == 200:
result = response.json()
st.write("Answer:", result["answer"])
else:
st.error("Error processing query")
if __name__ == "__main__":
main()
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