app.py

import os
from pathlib import Path
import re

# Disable Chroma telemetry (optional)
os.environ["CHROMA_TELEMETRY_ENABLED"] = "false"

# Check if DB exists, else build
DB_DIR = Path(__file__).parent / "db"
if not DB_DIR.exists() or not any(DB_DIR.iterdir()):
    print("📦 No DB found. Building vectorstore...")
    import scripts.load_documents
    import scripts.chunk_and_embed
    import scripts.setup_vectorstore
else:
    print("✅ DB found. Skipping build.")
    
import gradio as gr
from scripts.router_chain import build_router_chain

OPENAI_KEY = os.getenv("OPENAI_API_KEY", None)
MODEL_NAME = os.getenv("OPENAI_MODEL", "gpt-4o-mini")

if not OPENAI_KEY:
    print("WARNING: OPENAI_API_KEY not set. The app may fail at runtime.")

# Build the router once (keeps vectorstore & models in memory)
router = build_router_chain(model_name=MODEL_NAME)

def chat_fn(message, history):
    if not message:
        return history, ""
    # call router
    result = router.invoke({"input": message})
    # RetrievalQA returns dict with 'result' key (and maybe 'source_documents')
    answer = result.get("result") if isinstance(result, dict) else str(result)
    # append sources if present
    sources = None
    if isinstance(result, dict) and "source_documents" in result and result["source_documents"]:
        try:
            sources = list({str(d.metadata.get("source", "unknown")) for d in result["source_documents"]})
        except Exception:
            sources = None
    if sources:
        answer = f"{answer}\n\n📚 Sources: {', '.join(sources)}"

    def format_answer(answer):
        # Wrap LaTeX formulas in a span so MathJax can render them
        answer = re.sub(r"\$\$(.+?)\$\$", r'<span class="math">$$\1$$</span>', answer)
        return f"<div>{answer}</div>"

    answer = format_answer(answer)
    history.append((message, answer))
    return history, ""

CSS = """
* { direction: rtl; text-align: right; font-family: 'Vazir', sans-serif; }
.gr-chat-message { white-space: pre-wrap; }
.math { font-size: 1.2em; }
"""

with gr.Blocks(css=CSS) as demo:
#     demo.load(lambda: None, [], [], _js="""
#     const script = document.createElement('script');
#     script.src = "https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js";
#     document.head.appendChild(script);
# """)
    
    gr.Markdown("## 📚 SCR Course Assistant — Chat with course files")
    # chatbot = gr.Chatbot(elem_id="chatbot", type="messages")
    chatbot = gr.Chatbot(elem_id="chatbot", type="tuples")
    txt = gr.Textbox(show_label=False, placeholder="Ask about the course...")
    txt.submit(chat_fn, [txt, chatbot], [chatbot, txt])
    txt.submit(lambda: None, None, txt)  # clear input

if __name__ == "__main__":
    demo.launch(server_port=int(os.getenv("PORT", 7860)))