Update README.md

README.md

@@ -45,23 +45,26 @@ A lightweight **Streamlit** web application that utilizes a fine-tuned deep lear
    git clone https://huggingface.co/spaces/your-username/Malicious-URL-Detector
    cd Malicious-URL-Detector
 
-2. **Install Dependencies**  
-pip install -r requirements.txt
+2. **Install Dependencies**
+   pip install -r requirements.txt
 
-3.**Run the App**  
-streamlit run app.py
+3. **Run the App**  
+   streamlit run app.py
 
-4.**Use It** 
-Paste an email’s content or a URL into the text box.
+4. **Use It** 
+   Paste an email’s content or a URL into the text box.
 
-Click Analyze to see the classification results.
+   Click Analyze to see the classification results.
 
-5.**Example** 
-Input:
-"Hello, your account has been locked. Please verify at http://suspicious-link.com"
+5. **Example**
 
-Output:
-Malicious (Confidence: 0.95)
+   Input:
+
+   "Hello, your account has been locked. Please verify at http://suspicious-link.com"
+
+   Output:
+
+   Malicious (Confidence: 0.95)
 
 
 ## Limitations
@@ -73,8 +76,4 @@ Dataset Bias: Performance depends on how well the training data represents real-
 Evolving Threats: Regular updates are recommended to keep pace with new phishing or malware tactics.
 
 ## Contact
-Author: Eason Liu
-
-Questions/Issues: Please open an issue or reach out via Hugging Face.
-
-Enjoy safer browsing and emailing!
+Author: Eason Liu