Update README.md

README.md

@@ -9,4 +9,29 @@ app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Book Recommender App
+
+This is a book recommendation app built using Python, scikit-learn, and Gradio. It uses TF-IDF vectorization and cosine similarity to recommend books based on their summaries.
+
+## Functionality
+
+*   **File Upload and Processing:** Users can upload CSV or Excel files containing book data (title and summary).  This functionality depends on the `pandas` library for data loading and manipulation.
+*   **Data Preprocessing:** The app handles missing values and removes duplicate entries. This also relies on `pandas`.
+*   **TF-IDF Vectorization:** Book summaries are converted into numerical vectors using TF-IDF. This is powered by `scikit-learn`'s `TfidfVectorizer`.
+*   **Similarity Calculation:** Cosine similarity is calculated between the TF-IDF vectors to determine how similar books are. This also uses `scikit-learn`.
+*   **Book Recommendation:** Users can enter a book title, and the app recommends similar books based on the calculated similarities.
+*   **User Interface:** The app provides a user-friendly interface using `gradio`.
+
+## Dependencies
+
+*   **pandas:** For data loading, manipulation, and preprocessing (CSV and Excel file handling).
+*   **scikit-learn:** For TF-IDF vectorization and cosine similarity calculation.
+*   **gradio:** For creating the interactive user interface.
+
+## How to Run Locally
+
+1.  **Clone the repository:**
+
+```bash
+git clone [https://github.com/](https://github.com/)<your_username>/<your_repo_name>.git  # Replace with your repo URL
+cd <your_repo_name>