update README

README.md

@@ -9,6 +9,16 @@ datasets:
 metrics:
 - accuracy
 - f1
+title: IMDb Sentiment Analyzer
+emoji: 🤗
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: "4.26.0" # Verify this matches your Gradio version in requirements.txt
+app_file: app.py
+pinned: false
+hf_oauth: false
+disable_embedding: false
 ---
 
 # ModernBERT IMDb Sentiment Analysis Model
@@ -69,3 +79,43 @@ print(f"Predicted label: {predicted_label}")
 
 ### Model Citation
 - **Citation**: voxmenthe/modernbert-imdb-sentiment
+
+## IMDb Sentiment Analyzer - Gradio App
+
+This repository contains a Gradio application for sentiment analysis of IMDb movie reviews.
+It uses a fine-tuned ModernBERT model hosted on Hugging Face.
+
+**Space Link:** [voxmenthe/imdb-sentiment-demo](https://huggingface.co/spaces/voxmenthe/imdb-sentiment-demo)
+**Model Link:** [voxmenthe/modernbert-imdb-sentiment](https://huggingface.co/voxmenthe/modernbert-imdb-sentiment)
+
+## Features
+
+*   **Text Input**: Analyze custom movie review text.
+*   **Random IMDb Sample**: Load a random review from the IMDb test dataset.
+*   **Sentiment Prediction**: Classifies sentiment as Positive or Negative.
+*   **True Label Display**: Shows the actual IMDb label for loaded samples.
+
+## Setup & Running Locally
+
+1.  **Clone the repository (or your Space repository):**
+    ```bash
+    git clone https://huggingface.co/spaces/voxmenthe/imdb-sentiment-demo
+    cd imdb-sentiment-demo
+    ```
+
+2.  **Install dependencies:**
+    Ensure you have Python 3.11+ installed.
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3.  **Run the application:**
+    ```bash
+    python app.py
+    ```
+    The application will be available at `http://127.0.0.1:7860`.
+
+## Model Information
+
+The sentiment analysis model is a `ModernBERT` architecture fine-tuned on the IMDb dataset. The specific checkpoint used is `mean_epoch5_0.9575acc_0.9575f1.pt` before being uploaded to `voxmenthe/modernbert-imdb-sentiment`.
+