import streamlit as st
from streamlit_lottie import st_lottie
import requests

# --- CUSTOM CSS FOR STYLING ---
st.markdown("""
    <style>
    .stApp {
        background-image: linear-gradient(to right, #f4f4f4, #ffffff);
        color: #333333;
        font-family: 'Segoe UI', sans-serif;
    }
    h1, h2, h3 {
        text-align: center;
        color: #1a1a1a;
    }
    .highlight {
        background-color: #f0f8ff;
        border-left: 6px solid #1890ff;
        padding: 10px 15px;
        margin: 15px 0;
        border-radius: 5px;
    }
    .section-title {
        font-size: 20px;
        font-weight: bold;
        color: #005691;
        margin-top: 30px;
    }
    .info-box {
        background-color: #fffbe6;
        border-left: 6px solid #faad14;
        padding: 12px;
        border-radius: 6px;
        margin-bottom: 15px;
    }
    </style>
""", unsafe_allow_html=True)

# --- HEADER TITLE ---
st.markdown("<h1>📝 Text Summarization App</h1>", unsafe_allow_html=True)
st.markdown("---")

# --- ABOUT APP ---
st.markdown("<div class='section-title'>🔍 About the App</div>", unsafe_allow_html=True)
st.markdown("""
<div class='highlight'>
This is a powerful, interactive <b>Text Summarization App</b> that lets you convert <b>long-form content into concise summaries</b> with just one click — powered by state-of-the-art <b>Transformer models</b> from Hugging Face 🤖.
</div>
Built using:
- 🧠 <code>transformers</code> (Hugging Face)
- 🧰 Streamlit for the web interface
- 💫 Lottie animations for smoother experience
""", unsafe_allow_html=True)

# --- WHAT YOU CAN DO ---
st.markdown("<div class='section-title'>💡 What Can You Do?</div>", unsafe_allow_html=True)
st.markdown("""
- Paste any **long text** (job description, blog, article, etc.)
- Choose summarization models:
    - `facebook/bart-large-cnn` (BART)
    - `t5-small` (T5)
    - `google/pegasus-cnn_dailymail` (PEGASUS)
- Select output format:
    - 📄 Paragraph
    - 🔹 Bullet Points
    - 🛠️ Custom (via sliders)
- Control summary length with:
    - 📉 Short (40–150 words)
    - 📈 Medium (up to 300 words)
    - 🎛️ Custom sliders for min/max
""")

# --- SMART FEATURES ---
st.markdown("<div class='section-title'>🧮 Smart Features</div>", unsafe_allow_html=True)
st.markdown("""
<div class='info-box'>
✔️ Real-time <b>word count display</b> (before & after summary)  
✔️ 💾 Save summaries with: timestamp, model used, original + summarized text  
✔️ 📚 View saved summary history  
✔️ 📥 One-click download of summaries as <code>.txt</code> files  
✔️ <b>Everything runs locally</b> — no data shared 🌐
</div>
""", unsafe_allow_html=True)

# --- WHY THIS APP ---
st.markdown("<div class='section-title'>🎯 Why This App?</div>", unsafe_allow_html=True)
st.markdown("""
Because no one wants to read 1000 words when 100 will do 😅  
Whether you're:
- A student summarizing notes or papers
- A recruiter simplifying job posts
- A writer condensing blogs
- Or just text-fatigued

👉 <b>This app is for you.</b> 💪
""")

st.markdown("---")

# --- ABOUT ME ---
st.markdown("<div class='section-title'>🙋‍♂️ About Me</div>", unsafe_allow_html=True)
st.markdown("""
Hey, I'm **Mula Vamshi** — a Python-powered human who builds smart, minimal apps with clean UI and real use cases.  
I work with **Data Science, NLP, Automation & App Development**.

This summarizer? Just one example of what I enjoy building.

📬 **Let’s Connect**:  
- 🔗 [LinkedIn](https://www.linkedin.com/in/vamshi-mula-946743321)  
- 📧 [Email Me](mailto:mulavamshi1426@gmail.com)

> 💬 “<i>Simplicity is my power tool. Python is my wand. Streamlit is my canvas.</i>”  
> — <b>MULA VAMSHI</b>
""", unsafe_allow_html=True)