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# -*- coding: utf-8 -*-
import streamlit as st
import os
import pandas as pd
import matplotlib.pyplot as plt
from resume_generation_gemini_pro import Gemini_pro_main
from similarity_score_refined import similarity_main
from io import BytesIO

# Helper function to save uploaded files temporarily and return their paths
def save_uploaded_file(uploaded_file):
    file_path = os.path.join("/tmp", uploaded_file.name)
    with open(file_path, "wb") as f:
        f.write(uploaded_file.getbuffer())
    return file_path

# Custom CSS for styling
st.markdown("""
    <style>
        .main {
            background-color: #f5f5f5;
            font-family: Arial, sans-serif;
        }
        h1, h2 {
            color: #4B7BE5;
            text-align: center;
        }
        .stButton>button {
            # background-color: #4B7BE5;
            # color: white;
            # font-size: 18px;
            appearance: none;
            background-color: transparent;
            border: 0.125em solid #1A1A1A;
            border-radius: 0.9375em;
            box-sizing: border-box;
            color: #3B3B3B;
            cursor: pointer;
            display: inline-block;
            font-family: Roobert,-apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";
            font-size: 16px;
            font-weight: 600;
            line-height: normal;
            margin: 0;
            min-height: 3.75em;
            min-width: 0;
            outline: none;
            padding: 1em 2.3em;
            text-align: center;
            text-decoration: none;
            transition: all 300ms cubic-bezier(.23, 1, 0.32, 1);
            user-select: none;
            -webkit-user-select: none;
            touch-action: manipulation;
            will-change: transform;
        }
        .stButton>button:hover {
            color: #fff;
            background-color: #1A1A1A;
            box-shadow: rgba(0, 0, 0, 0.25) 0 8px 15px;
            transform: translateY(-2px);
            
            
            
        }
        /* From Uiverse.io by e-coders */ 
             
        # .stButton>btn:disabled {
        #  pointer-events: none;
        # }
        
        # .stButton>:active {
        #  box-shadow: none;
        #  transform: translateY(0);
        # }
    </style>
""", unsafe_allow_html=True)


# Title and Description
st.title("Resume Tailoring with Google Generative AI")
st.markdown("### Upload your resume and job description to check similarity and generate a tailored resume.")

# Two columns for file uploaders
col1, col2 = st.columns(2)
with col1:
    uploaded_resume = st.file_uploader("Upload Current Resume (.docx or .pdf)", type=["docx", "pdf"], key="resume")
with col2:
    uploaded_job_description = st.file_uploader("Upload Job Description (.docx or .pdf)", type=["docx", "pdf"], key="job_description")

# Process if files are uploaded
if uploaded_resume and uploaded_job_description:
    # Save files
    resume_path = save_uploaded_file(uploaded_resume)
    job_description_path = save_uploaded_file(uploaded_job_description)

    # Similarity Score Section
    st.markdown("---")
    st.subheader("Check Job Match")

    if st.button("Resume-JD Matching"):
        with st.spinner("Computing Match"):
            similarity_score = similarity_main(resume_path, job_description_path)
            if isinstance(similarity_score, str) and '%' in similarity_score:
                similarity_score = float(similarity_score.replace('%', ''))
                
                # Display messages based on score range
                if similarity_score < 50:
                    st.markdown('<p style="color: red; font-weight: bold;">Low chance, need to modify your CV!</p>', unsafe_allow_html=True)
                    pie_colors = ['#FF4B4B', '#E5E5E5']  
                elif 50 <= similarity_score < 70:
                    st.markdown('<p style="color: red; font-weight: bold;">Good chance but you can improve further!</p>')
                    pie_colors = ['#FFC107', '#E5E5E5']  
                else:
                    st.markdown('<p style="color: green; font-weight: bold;">Excellent! You can submit your CV.</p>', unsafe_allow_html=True)
                    pie_colors = ['#4CAF50', '#E5E5E5']  

        # Display Score as a Pie Chart
        st.markdown(f"### Similarity Score: {int(similarity_score)}%")
        
        # Pie chart to show similarity
        fig, ax = plt.subplots()
        # ax.pie([similarity_score, 100 - similarity_score], labels=['Match', 'Difference'], autopct='%1.1f%%', startangle=140, colors=['#4B7BE5', '#E5E5E5'])
        ax.pie([similarity_score, 100 - similarity_score], labels=['Match', 'Difference'], autopct='%1.1f%%', startangle=140, colors=pie_colors)
            
        ax.axis('equal')  
        st.pyplot(fig)

    # Generate Tailored Resume Section
    st.markdown("---")
    st.subheader("Tailor Resume")

    if st.button("Tailor Resume"):
        with st.spinner("Generating resume..."):
            generated_resume = Gemini_pro_main(resume_path, job_description_path)
            st.subheader("Generated Tailored Resume:")
            st.write(generated_resume)

            
            resume_bytes = BytesIO()
            generated_resume.save(resume_bytes)
            resume_bytes.seek(0)
            
            st.download_button(
            label="Download Resume",
            data=resume_bytes,
            file_name="tailored_resume.docx",
            mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
            )

else:
    st.warning("Please upload both the resume and job description files.")


#Autoscroll
st.markdown("""
    <script>
        window.scrollTo(0, document.body.scrollHeight);
    </script>
""", unsafe_allow_html=True)