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README.md

@@ -1,12 +1,53 @@
 ---
-title: TruthX Space
-emoji: 🔥
-colorFrom: green
-colorTo: indigo
+title: TruthX Fake News Detector
+emoji: 🔍
+colorFrom: blue
+colorTo: red
 sdk: gradio
-sdk_version: 6.12.0
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# TruthX - Fake News Detection
+
+TruthX uses state-of-the-art DistilBERT model to detect fake news articles with high accuracy.
+
+## Features
+
+- **Real-time Detection**: Get instant predictions on news authenticity
+- **Confidence Score**: See the model's confidence level
+- **Multiple Models**: Supports BERT, DistilBERT, and RoBERTa models
+
+## How to Use
+
+1. Enter any news article or headline in the text box
+2. Click "Submit" to get the prediction
+3. View the classification (Real/Fake) with confidence scores
+
+## Technical Details
+
+- **Model**: DistilBERT fine-tuned for fake news detection
+- **Input**: Text up to 512 tokens
+- **Output**: Classification label with probability scores
+
+## API Access
+
+You can also access the model programmatically via the Hugging Face Inference API:
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/Ankit74990/TruthX-DISTILBERT"
+headers = {"Authorization": "Bearer YOUR_TOKEN"}
+
+def query(text):
+    response = requests.post(API_URL, headers=headers, json={"inputs": text})
+    return response.json()
+
+result = query("Your news text here")
+```
+
+## Model Card
+
+This space uses the [TruthX-DISTILBERT](https://huggingface.co/Ankit74990/TruthX-DISTILBERT) model.