Update README.md

README.md

@@ -19,7 +19,6 @@ This project provides a simple interface for Optical Character Recognition (OCR)
 ## Features
 - Extract text from images using OCR.
 - Classify extracted text as either "Spam" or "Not Spam."
-- Save the extracted text and classification results to a local JSON and CSV file.
 
 ## How It Works
 1. **OCR**: The app uses one of the three OCR methods to extract text from the uploaded image:
@@ -29,7 +28,6 @@ This project provides a simple interface for Optical Character Recognition (OCR)
    
 2. **Classification**: The extracted text is passed to a pre-trained DistilBERT model that classifies the text as either "Spam" or "Not Spam."
 
-3. **Save Results**: The extracted text and classification results are saved locally in both JSON and CSV formats, allowing easy retrieval and review.
 
 ## Installation
 
@@ -90,7 +88,7 @@ print(result)
 
 | Parameter | Type | Description |
 |-----------|------|-------------|
-| `method` | `Literal['PaddleOCR', 'EasyOCR', 'KerasOCR']` | Choose the OCR method to be used for text extraction. Default is "PaddleOCR." |
+| `method` | `Literal['PaddleOCR', 'EasyOCR', 'KerasOCR', 'TesseractOCR']` | Choose the OCR method to be used for text extraction. Default is "PaddleOCR." |
 | `img` | `dict` | The image input, which can be provided as a URL, path, or base64 encoded image. |
 
 #### Image Input Details