Update README.md to remove detailed application description and features

README.md

@@ -9,63 +9,4 @@ license: apache-2.0
 short_description: Use LLMs to parse bank messages and write to Google Sheet
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-# Expense Tracker 📊
-
-A FastAPI-based application that uses LLMs to parse bank transaction messages and write structured data to a Google Sheet.
-
-## Features
-
-- **Classifies incoming messages** as Transaction, OTP, Promotional, Scheduled, or Non-Transaction using LLMs.
-- **Parses transaction messages** to extract structured details (amount, type, receiver, category, date, origin).
-- **Writes parsed transactions** directly to a connected Google Sheet.
-- **Supports multiple LLM providers** (Google Gemini, Groq).
-- **Secured endpoints** using a token header.
-
-## Requirements
-
-- Python 3.11+
-- Google Service Account credentials for Google Sheets access
-
-## Setup
-
-1. **Clone the repository** and navigate to the project directory.
-
-2. **Install dependencies:**
-   ```sh
-   pip install -r requirements.txt
-   ```
-
-3. **Configure environment variables:**
-
-   Create a `.env` file with the following variables:
-   ```
-   SHEET_URL=<your_google_sheet_url>
-   GOOGLESHEETS_CREDENTIALS=<your_google_service_account_json>
-   GROQ_API_KEY=<your_groq_api_key>
-   HF_TOKEN=<your_auth_token>
-   GOOGLE_API_KEY=<your_google_api_key>
-   ```
-
-4. **Run the application:**
-   ```sh
-   uvicorn app:app --host 0.0.0.0 --port 7860
-   ```
-
-## Usage
-
-- **POST `/write_message`**  
-  Send a JSON payload:
-  ```json
-  {
-    "message": "Your bank transaction SMS or notification text"
-  }
-  ```
-  Include the `header` with your `HF_TOKEN`.
-
-- **GET `/`**  
-  Health check and welcome message.
-
-- **POST `/test`**  
-  Test endpoint to verify authentication.
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference