Update README.md

README.md

@@ -1,68 +1,12 @@
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-# Hindi & English OCR with Keyword Search
-
-This project implements a web-based prototype for Optical Character Recognition (OCR) on images containing text in both Hindi and English. It also includes a basic keyword search functionality based on the extracted text.
-
-## Features
-
-- Upload and process images containing Hindi and English text
-- Extract text from images using OCR
-- Perform keyword search on the extracted text
-- Web-based interface for easy interaction
-
-## Technology Stack
-
-- Python
-- Hugging Face Transformers (Qwen2-VL-2B-Instruct model)
-- PyTorch
-- Gradio (for web interface)
-
-## Setup and Installation
-
-1. Clone the repository:
-   ```
-   git clone [your-repo-url]
-   cd [your-repo-name]
-   ```
-
-2. Install the required dependencies:
-   ```
-   pip install transformers torch gradio Pillow
-   ```
-
-3. Download the Qwen2-VL-2B-Instruct model:
-   The model will be automatically downloaded when you run the application for the first time.
-
-## Usage
-
-1. Run the application:
-   ```
-   python app.py
-   ```
-
-2. Open the provided URL in your web browser.
-
-3. Upload an image containing Hindi and/or English text.
-
-4. (Optional) Enter a keyword to search within the extracted text.
-
-5. View the OCR results and any keyword matches.
-
-## Limitations
-
-- The current implementation uses CPU for processing, which may be slower for large images.
-
-## Future Improvements
-
-- Implement GPU support for faster processing
-- Add support for multiple image uploads
-- Enhance the user interface for better user experience
-
-## Link
-
-https://huggingface.co/spaces/pranshh/ocr-assignment
-
-## Acknowledgements
-
-This project uses the Qwen2-VL-2B-Instruct model from Hugging Face Transformers.
+---
+title: Ocr Assignment
+emoji: 👀
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference