Delete Overview.py

Overview.py

@@ -1,95 +0,0 @@
-import streamlit as st
-import streamlit as st
-from streamlit_lottie import st_lottie
-import requests
-
-st.markdown("""
-    <style>
-    .stApp {
-        background-image: linear-gradient(to right, #ece9e6, #ffffff);
-        background-size: cover;
-        color: #333333;
-        font-family: 'Segoe UI', sans-serif;
-    }
-    h1 {
-        text-align: center;
-        color: #1a1a1a;
-    }
-    .stCheckbox > div {
-        padding: 5px;
-    }
-    .css-1cpxqw2 {
-        background-color: transparent !important;
-    }
-    </style>
-""", unsafe_allow_html=True)
-
-
-st.markdown("<h1 style='text-align: center;'>📝 Text Summarization App</h1>", unsafe_allow_html=True)
-
-st.markdown("---")
-
-st.subheader("🔍 About the App")
-st.write("""
-This is a powerful, interactive **Text Summarization App** that lets you convert **long-form content into concise summaries** in just one click — using state-of-the-art **Transformer models** from Hugging Face 🤖.
-Built using:
-- 🧠 `transformers` library from Hugging Face for NLP
-- 🧰 Streamlit for a fast, intuitive web interface
-- 💫 Lottie animations for smooth experience
-""")
-
-st.subheader("💡 What Can You Do?")
-st.write("""
-You can:
-- 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 your preferred output format:
-  - 📄 Paragraph
-  - 🔹 Bullet Points
-  - 🛠️ Custom (via sliders)
-Control the **summary length** with:
-- 📉 Short (40–150 words)
-- 📈 Medium (up to 300 words)
-- 🛠️ Custom sliders for `min` and `max`
-""")
-
-st.subheader("🧮 Smart Features")
-st.write("""
-- Real-time **word count display** (before & after summary)
-- 💾 Save your summaries with:
-  - Timestamp
-  - Model used
-  - Input text & output summary
-- 📚 View saved **summary history**
-- 📥 One-click download of summary as `.txt` file
-Everything runs locally — no cloud sync, no data sharing 🌐
-""")
-
-st.subheader("🎯 Why This App?")
-st.write("""
-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
-This app is for you 💪
-""")
-
-st.markdown("---")
-
-# About Me
-st.subheader("🙋‍♂️ About Me")
-st.write("""
-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 a part of what I love doing!
-**Let’s connect:**
-- 🔗 [LinkedIn](https://www.linkedin.com/in/vamshi-mula-946743321)
-- 📧 [Email Me](mailto:[email protected])
-> 💬 “Simplicity is my power tool. Python is my wand. Streamlit is my canvas.”  
-> — MULA VAMSHI
-""")