Update README.md with proper Gradio SDK configuration

README.md

@@ -1,84 +1,12 @@
-# SVM Fake News Classifier
-
-FastAPI application for classifying news articles as real or fake using Support Vector Machine with TF-IDF features.
-
-## Features
-
-- FastAPI REST API
-- SVM model with TF-IDF vectorization
-- Calibrated probability predictions
-- API key authentication
-- Health check endpoint
-- Docker support
-
-## API Endpoints
-
-- `GET /` - API information
-- `GET /health` - Health check
-- `POST /predict` - Single prediction
-- `POST /predict_batch` - Batch predictions
-- `GET /docs` - Interactive API documentation
-
-## Quick Start
-
-### Using Docker
-
-```bash
-# Build and run with docker-compose
-docker-compose up --build
-
-# Or build and run manually
-docker build -t svm-classifier .
-docker run -p 8000:8000 svm-classifier
-```
-
-### Local Development
-
-```bash
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the application
-python app.py
-# or
-python start.py
-# or
-uvicorn app:app --host 0.0.0.0 --port 8000
-```
-
-## Usage
-
-### Single Prediction
-
-```bash
-curl -X POST "http://localhost:8000/predict" \
-     -H "Content-Type: application/json" \
-     -H "x-api-key: super-secret-key" \
-     -d '{
-       "title": "Breaking News",
-       "text": "This is a news article text..."
-     }'
-```
-
-### Batch Prediction
-
-```bash
-curl -X POST "http://localhost:8000/predict_batch" \
-     -H "Content-Type: application/json" \
-     -H "x-api-key: super-secret-key" \
-     -d '{
-       "items": [
-         {"title": "News 1", "text": "Text 1"},
-         {"title": "News 2", "text": "Text 2"}
-       ]
-     }'
-```
-
-## Environment Variables
-
-- `MODEL_PATH`: Path to the model file (default: `fake_news_model.joblib`)
-- `API_KEY`: API key for authentication (default: `super-secret-key`)
-
-## License
-
-Apache 2.0
+---
+title: SVM Fake News Classifier
+emoji: 📰
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 4.44.0
+app_file: gradio_app.py
+app_port: 7860
+pinned: false
+license: apache-2.0
+---

README_HF.md

@@ -1,10 +0,0 @@
----
-title: SVM Fake News Classifier
-emoji: 📰
-colorFrom: red
-colorTo: blue
-sdk: docker
-app_port: 7860
-pinned: false
-license: apache-2.0
----

README_gradio.md

@@ -1,47 +0,0 @@
----
-title: SVM Fake News Classifier
-emoji: 📰
-colorFrom: red
-colorTo: blue
-sdk: gradio
-sdk_version: "4.44.0"
-app_file: gradio_app.py
-pinned: false
-license: apache-2.0
----
-
-# SVM Fake News Classifier
-
-An interactive web application for classifying news articles as real or fake using Support Vector Machine with TF-IDF features.
-
-## Features
-
-- 🤖 **SVM Model**: Support Vector Machine with TF-IDF vectorization
-- 📊 **Calibrated Probabilities**: Reliable confidence scores using CalibratedClassifierCV
-- 🎯 **Interactive Interface**: User-friendly Gradio web interface
-- 📚 **Example Articles**: Pre-loaded examples to test the model
-- 📈 **Confidence Levels**: High/Medium/Low confidence indicators
-
-## How to Use
-
-1. **Enter Article Details**: Input the news title and content
-2. **Get Prediction**: Click "Classify News" to analyze the article
-3. **Review Results**: Check the prediction, probabilities, and confidence level
-
-## Model Information
-
-- **Algorithm**: Support Vector Machine (SVM)
-- **Features**: TF-IDF text vectorization
-- **Calibration**: CalibratedClassifierCV for probability estimates
-- **Output**: Binary classification (Real/Fake) with confidence scores
-
-## API Version
-
-For programmatic access, a FastAPI version is also available with the following endpoints:
-- `POST /predict` - Single article prediction
-- `POST /predict_batch` - Batch predictions
-- `GET /health` - Health check
-
-## Disclaimer
-
-This is a machine learning model for educational and research purposes. Always verify important information through multiple reliable sources.