Update README.md

README.md

@@ -1,54 +1,54 @@
----
-title: AI Text Classifier 2026
-emoji: 🤖
-colorFrom: blue
-colorTo: purple
-sdk: streamlit
-sdk_version: "1.28.1"
-app_file: app.py
-pinned: false
----
-
-# 🤖 AI Text Classifier 2026
-
-## Overview
-Professional AI-powered text classification system with **Spam Detection** and **Sentiment Analysis** using state-of-the-art Transformer models (BERT & RoBERTa).
-
-## Features
-- 📧 **Spam Detection** - Identifies spam messages (98.5% accuracy)
-- 😊 **Sentiment Analysis** - Positive/Negative/Neutral classification (96.8% accuracy)
-- 📜 **History Storage** - Automatically stores past classifications
-- 📊 **Visual Analytics** - Interactive confidence gauges and charts
-- ⚡ **Real-time Processing** - Instant results with progress indicators
-
-## How It Works
-1. Select classification type (Spam or Sentiment)
-2. Enter or paste text
-3. AI model analyzes content
-4. Get instant result with confidence score
-5. View history of all past classifications
-
-## Models Used
-| Task | Model | Accuracy |
-|------|-------|----------|
-| Spam Detection | BERT-tiny (SMS fine-tuned) | 98.5% |
-| Sentiment Analysis | RoBERTa (Twitter latest) | 96.8% |
-
-## Deployment
-
-### Hugging Face Spaces (FREE)
-
-1. Go to: https://huggingface.co/new-space
-2. Space Name: `text-classifier-2026`
-3. SDK: **Streamlit**
-4. Hardware: **CPU Basic**
-5. Upload files:
-   - `app.py`
-   - `requirements.txt`
-   - `README.md`
-6. Click "Create Space"
-
-### Local Run
-```bash
-pip install -r requirements.txt
+---
+title: AI Text Classifier 2026
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.57.0
+app_file: app.py
+pinned: false
+---
+
+# 🤖 AI Text Classifier 2026
+
+## Overview
+Professional AI-powered text classification system with **Spam Detection** and **Sentiment Analysis** using state-of-the-art Transformer models (BERT & RoBERTa).
+
+## Features
+- 📧 **Spam Detection** - Identifies spam messages (98.5% accuracy)
+- 😊 **Sentiment Analysis** - Positive/Negative/Neutral classification (96.8% accuracy)
+- 📜 **History Storage** - Automatically stores past classifications
+- 📊 **Visual Analytics** - Interactive confidence gauges and charts
+- ⚡ **Real-time Processing** - Instant results with progress indicators
+
+## How It Works
+1. Select classification type (Spam or Sentiment)
+2. Enter or paste text
+3. AI model analyzes content
+4. Get instant result with confidence score
+5. View history of all past classifications
+
+## Models Used
+| Task | Model | Accuracy |
+|------|-------|----------|
+| Spam Detection | BERT-tiny (SMS fine-tuned) | 98.5% |
+| Sentiment Analysis | RoBERTa (Twitter latest) | 96.8% |
+
+## Deployment
+
+### Hugging Face Spaces (FREE)
+
+1. Go to: https://huggingface.co/new-space
+2. Space Name: `text-classifier-2026`
+3. SDK: **Streamlit**
+4. Hardware: **CPU Basic**
+5. Upload files:
+   - `app.py`
+   - `requirements.txt`
+   - `README.md`
+6. Click "Create Space"
+
+### Local Run
+```bash
+pip install -r requirements.txt
 streamlit run app.py