app.py

import streamlit as st
from dotenv import load_dotenv
from src.transcription import transcribe_audio
from src.ticket_llm import draft_ticket_with_llm
from src.jira_format import to_markdown, to_json

load_dotenv()

st.set_page_config(page_title="Voice-to-JIRA (MVP)", page_icon="📝")

st.title("📝 Voice-to-JIRA (MVP)")
st.caption("Turn short voice notes into JIRA-ready tickets in under 30 seconds.")

audio_file = st.file_uploader("Upload a short .wav or .mp3 voice note", type=["wav", "mp3"])

with st.expander("Tips for best results"):
    st.markdown(
        "- Keep clips under 90s for MVP\n"
        "- Speak task first, then context\n"
        "- Mention priority (low/medium/high) if known\n"
        "- Say 'bug' or 'feature' if relevant"
    )

if st.button("Generate Ticket", disabled=audio_file is None):
    if not audio_file:
        st.warning("Please upload an audio file first.")
        st.stop()

    with st.spinner("Transcribing audio..."):
        transcript = transcribe_audio(audio_file)

    with st.spinner("Drafting ticket..."):
        ticket = draft_ticket_with_llm(transcript)

    st.subheader("Proposed Ticket")
    st.code(to_markdown(ticket), language="markdown")

    st.download_button(
        "Download ticket.json",
        data=to_json(ticket),
        file_name="ticket.json",
        mime="application/json"
    )

    st.success("Done! Copy/paste the markdown above into JIRA.")