Update README.md

README.md

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-# Book Recommender (Flask Version)
+---
+title: Book Recommender
+emoji: 📚
+colorFrom: indigo
+colorTo: blue
+sdk: docker
+sdk_version: "latest"  # Or specify a version if needed
+app_file: app.py
+pinned: false
+---
 
-This project implements a content-based book recommendation system using Python, Flask, and scikit-learn. It allows users to upload a CSV or Excel file containing book titles and summaries, and then enter a book title to receive recommendations for similar books.
+# Book Recommender (Flask)
+
+This Hugging Face Space hosts a web application for recommending books based on their summaries.  It's built using Python, Flask, pandas, and scikit-learn.
+
+## How to Use
+
+1. **Upload Data:** Upload a CSV or Excel file containing book titles and summaries.  The file *must* have columns named "title" and "summary" (case-sensitive).
+2. **Process Data:** Click the "Upload and Process" button.
+3. **Get Recommendations:** Enter a book title and click the "Get Recommendations" button. The app will display similar books.
+
+## Data Format
+
+The uploaded CSV or Excel file should have the following columns:
+
+*   `title` (string): The title of the book.
+*   `summary` (string): A brief summary of the book.
 
 ## Dependencies
 
-- Flask: Used for creating the web application.
-- pandas: Used for data loading and manipulation.
-- scikit-learn: Used for TF-IDF vectorization and cosine similarity calculation.
+The following Python libraries are used:
+
+*   Flask
+*   pandas
+*   scikit-learn
+*   gunicorn
+
+These dependencies are listed in the `requirements.txt` file.
+
+## Running Locally (for development)
+
+1.  Clone the repository:
+
+    ```bash
+    git clone <repository_url>
+    ```
+
+2.  Create a virtual environment:
+
+    ```bash
+    python3 -m venv venv
+    source venv/bin/activate  # macOS/Linux
+    venv\Scripts\activate    # Windows
+    ```
+
+3.  Install dependencies:
+
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+4.  Run the app:
 
-You can install these dependencies using pip:
+    ```bash
+    python app.py
+    ```
 
-```bash
-pip install Flask pandas scikit-learn
+## File Structure