app.py

import streamlit as st
from components import keyword_chart, theme_chart, groq_analysis, translator
from utils import file_loader, export

st.set_page_config(page_title="Qualitative Coding Tool", layout="wide")
st.title("🧠 AI-Powered Qualitative Coding App")

# Upload section
uploaded_file = st.file_uploader("📄 Upload DOCX, PDF, or TXT", type=["pdf", "txt", "docx"])
text_data = ""

if uploaded_file:
    text_data = file_loader.extract_text(uploaded_file)
    st.success("File loaded successfully!")

# Manual input section
st.subheader("✍️ Manual Caption Input")
manual_input = st.text_area("Enter or paste captions directly here:", height=200)

if manual_input:
    text_data = manual_input

# Translation
if text_data:
    if st.checkbox("🌍 Translate text to English (if non-English)"):
        text_data = translator.translate_text(text_data)
        st.info("Translated to English.")

# Manual coding section
st.subheader("📝 Manual Coding")
code_input = st.text_input("Enter a code (e.g. advocacy, inclusivity):")
selected_text = st.text_area("Paste a phrase to code:", height=150)

if "coded_phrases" not in st.session_state:
    st.session_state.coded_phrases = []

if st.button("Add Code"):
    if selected_text and code_input:
        st.session_state.coded_phrases.append({"phrase": selected_text, "code": code_input})
        st.success("Code added!")

if st.session_state.coded_phrases:
    export.display_and_download(st.session_state.coded_phrases)

# Keyword chart
if text_data:
    keyword_chart.display_keywords(text_data)

# Theme frequency chart
if st.session_state.coded_phrases:
    theme_chart.display_theme_chart(st.session_state.coded_phrases)

# LLM analysis
if text_data:
    groq_analysis.show_analysis_placeholder(text_data)