import streamlit as st
from code_reviewer import review_code
from pr_fetcher import fetch_pr_diff

st.set_page_config(page_title="Code Review Agent", layout="wide")
st.title("🤖 Code Review Agent (Hugging Face Edition)")
st.caption("Fetch a Pull Request from GitHub and get AI-powered review + improved code")

# Sidebar for inputs
st.sidebar.header("🔗 GitHub PR Details")
repo_owner = st.sidebar.text_input("GitHub Repo Owner", placeholder="e.g. openai")
repo_name = st.sidebar.text_input("GitHub Repo Name", placeholder="e.g. gpt-code-review")
pr_number = st.sidebar.number_input("PR Number", min_value=1, step=1)
github_token = st.sidebar.text_input("GitHub Token (optional if public repo)", type="password")

if st.sidebar.button("🚀 Fetch & Review PR"):
    with st.spinner("Fetching PR diff..."):
        diff_text = fetch_pr_diff(repo_owner, repo_name, pr_number, github_token)

    if diff_text.startswith("Error"):
        st.error(diff_text)
    else:
        st.success("✅ PR diff fetched successfully!")
        
        # Display the diff for reference
        with st.expander("🔍 View Raw PR Diff"):
            st.code(diff_text, language="diff")

        # Review with LLM
        with st.spinner("Analyzing code with Hugging Face model..."):
            feedback, improved_code = review_code(diff_text)

        # Show results
        st.subheader("💡 Review Feedback")
        st.markdown(feedback)

        st.subheader("✨ Suggested Improved Code")
        st.code(improved_code, language="python")