Update

README.md

@@ -41,12 +41,14 @@ This repository hosts a Python pipeline that extracts text, tables, and images f
 
 This pipeline relies on **Google Cloud Platform** services and specific Python libraries. You will need:
 
-1.  **A Google Cloud Project:**
-    - Enable the **Vertex AI API**.
-    - Enable the **Generative Language API** (for Gemini 1.5 Flash descriptions).
+1.  **A Google Cloud Project with Billing Enabled:**
+    -   **IMPORTANT:** Running this pipeline will incur costs on your Google Cloud Platform account for API usage (Vertex AI and Gemini API). Ensure you have an [active billing account](https://cloud.google.com/billing/docs/how-to/create-billing-account) linked to your project.
+    -   Enable the **Vertex AI API**.
+    -   Enable the **Generative Language API** (for Gemini 1.5 Flash descriptions).
 2.  **Authentication:**
-    - **Google Cloud Authentication:** The easiest way to run this in a Colab environment is using `google.colab.auth.authenticate_user()`. For local execution, ensure your Google Cloud SDK is configured and authenticated (`gcloud auth application-default login`).
-    - **Gemini API Key:** An API key for the Google AI Gemini models. You can get one from [Google AI Studio](https://aistudio.google.com/app/apikey). Set this as an environment variable or directly in the code (though environment variables are recommended for security).
+    -   **Google Cloud Authentication:** The easiest way to run this in a Colab environment is using `google.colab.auth.authenticate_user()`. For local execution, ensure your Google Cloud SDK is configured and authenticated (`gcloud auth application-default login`).
+    -   **Gemini API Key:** An API key for the Google AI Gemini models. You can get one from [Google AI Studio](https://aistudio.google.com/app/apikey). Set this as an environment variable or directly in the code (though environment variables are recommended for security).
+
 
 ### Local Setup