Update README.md

README.md

@@ -113,6 +113,33 @@ _This plot shows the separability of the positive and negative classes in a redu
 ![Placeholder for CLS Embeddings Visualization](umap.png)
 _This plot shows the separability of the positive and negative classes in a reduced-dimension space using UMAP._
 
+## Web Interface for Easy Access
+
+For a user-friendly way to interact with the model, you can use the Streamlit web application. This interface allows you to predict on a single protein sequence or upload a multi-sequence FASTA file for batch processing. The application is also designed to automatically handle hardware constraints, switching to CPU if a CUDA device is not available or if it runs out of memory.
+
+To run the web interface, follow these steps:
+
+1.  **Clone the repository:** Open your terminal and clone the `AVP-ESM` repository from GitHub.
+    ```bash
+    git clone [https://github.com/kssrikar4/AVP-ESM.git](https://github.com/kssrikar4/AVP-ESM.git)
+    cd AVP-ESM
+    ```
+
+2.  **Install dependencies:** The application requires several Python libraries. You can install them by creating a `requirements.txt` file 
+    
+    ```bash
+    python -m venv py
+    source py/bin/activate  # On Windows: `py\Scripts\activate`
+    pip install -r requirements.txt
+    ```
+
+3.  **Run the application:** Once the dependencies are installed, you can launch the web interface with the following command:
+    ```bash
+    streamlit run app.py
+    ```
+
+Your default web browser should open automatically, displaying the Protein Virulence Predictor application.
+
 ## Licensing
 
 This model is licensed under the **GNU Lesser General Public License v2.1 (LGPL-2.1)**.