app.py

import streamlit as st
from core.analysis_utils import analyze_code_structure
from core.ai_providers import get_explanation

st.set_page_config(page_title="AI Decoder", page_icon="🧠", layout="wide")
st.title("🧠 AI Code Decoder (Reliable Edition)")
st.caption("OpenAI → Ollama fallback • Safe JSON parsing • Long timeout • Health check")

with st.sidebar:
    st.header("AI Settings")
    provider = st.selectbox("Provider", ["openai", "ollama"])
    model = st.text_input("Model", "gpt-4o-mini")
    detail = st.selectbox("Detail Level", ["low","medium","high"], index=2)
    mode = st.selectbox("Study Mode", ["explanation_only","explanation_plus_quiz","quiz_only"], index=1)
    temp = st.slider("Temperature", 0.0, 1.0, 0.2)
    openai = st.text_input("OpenAI key", type="password")
    ollama = st.text_input("Ollama URL", "http://localhost:11434")
    extra = st.text_area("Extra instructions")

st.subheader("1️⃣ Code Input")
code = st.text_area("Python code", height=260, placeholder="Paste code here...")

file = st.file_uploader("Or upload a Python file", type=["py"])
if file:
    try:
        code = file.read().decode("utf-8")
        st.info(f"Loaded {file.name}")
    except:
        st.error("Invalid file (must be UTF-8)")

if code.strip():
    st.subheader("2️⃣ Code Stats")
    st.write(analyze_code_structure(code))

st.subheader("3️⃣ AI Output")
if st.button("Run"):
    out = get_explanation(provider, model, code, detail, mode, extra,
                          temperature=temp, openai_api_key=openai,
                          ollama_base_url=ollama)
    st.markdown(out)