src/streamlit_app.py

import streamlit as st
import requests
from mtranslate import translate
import time

st.set_page_config(page_title="Sakya Library Bridge", page_icon="☸️", layout="wide")

st.title("☸️ Sakya Library English Bridge")

# Sidebar
with st.sidebar:
    st.header("Search Settings")
    search_type = st.radio("Search Target:", ["Content", "Title"], index=0)
    display_count = st.slider("Results to fetch:", 5, 50, 15)
    st.info("The 'HTML Reader' link below is optimized for Chrome's 'Translate to English' feature.")

query = st.text_input("Enter English keyword:", placeholder="e.g., Compassion")

if st.button("Search Library", type="primary"):
    if query:
        try:
            with st.spinner(f'Translating "{query}"...'):
                tibetan_term = translate(query, 'bo', 'auto')
                st.success(f"Tibetan Search Term: **{tibetan_term}**")

            endpoint = "GetDatatableSearchContent" if search_type == "Content" else "GetDatatableSearchTitle"
            base_url = f"http://sakyalibrary.com/Library/{endpoint}"
            
            params = {
                "DataTableParam.Echo": "1",
                "DataTableParam.DisplayStart": "0",
                "DataTableParam.DisplayLength": str(display_count),
                "skey": tibetan_term,
                "_": str(int(time.time() * 1000))
            }

            headers = {
                "User-Agent": "Mozilla/5.0",
                "X-Requested-With": "XMLHttpRequest"
            }

            response = requests.get(base_url, params=params, headers=headers, timeout=25)
            
            if response.status_code == 200:
                data = response.json()
                results = data.get('aaData', [])
                
                if not results:
                    st.warning("No matches found.")
                else:
                    for item in results:
                        item_id = item.get('Id')
                        name = item.get('Name', 'Untitled')
                        content_snippet = item.get('Content', '')
                        
                        # PUBLIC READER URL (Bypasses the login dialogue)
                        # Adding the page (pg=1) and skey helps the reader highlight your word
                        public_reader_url = f"http://sakyalibrary.com/Library/Book/{item_id}?pg=1&skey={tibetan_term}"
                        pdf_url = f"http://sakyalibrary.com{item.get('PdfUrl')}" if item.get('PdfUrl') else None

                        with st.expander(f"📖 {name}", expanded=True):
                            # AI Translation of the Title/Snippet for context
                            with st.chat_message("assistant"):
                                snippet_en = translate(content_snippet, 'en', 'bo')
                                st.write(f"**English Summary:** {snippet_en}")
                            
                            st.caption(f"**Tibetan Source:** {content_snippet}")
                            
                            col1, col2 = st.columns(2)
                            with col1:
                                # This link opens the public 'Book' interface
                                st.link_button("🌐 Open in Reader (Translatable)", public_reader_url)
                            with col2:
                                if pdf_url:
                                    st.link_button("📄 Download PDF", pdf_url)
            else:
                st.error("Library server unreachable.")
        except Exception as e:
            st.error(f"Error: {e}")