init files

.gitignore

@@ -0,0 +1 @@
+.DS_Store

Dockerfile

@@ -0,0 +1,14 @@
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["python", "app.py"]

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from multiocr import OcrEngine
+from multiocr.utils import draw_bounding_boxes
+
+# Define a function that takes an input image and processes it
+def process_image(input_image, ocr_type):
+    # Perform y`our internal processing here
+    # Example: Convert the image to grayscale
+    ocr = OcrEngine(ocr_type)
+    data = ocr.text_extraction(input_image)
+    json_response = ocr.text_extraction_to_df(data)
+    output_image = draw_bounding_boxes(input_image, data)
+
+    return output_image, json_response
+
+# Define the Gradio interface
+def app():
+    ocr_type = gr.inputs.Dropdown(choices=["tesseract", "paddle_ocr", "easy_ocr", "aws_textract"], label="selct one ocr")
+    # Create an input component for uploading the image
+    image_input = gr.inputs.Image(label="Upload Image", type="filepath")
+
+    # Create an output component for displaying the processed image
+    image_output = gr.outputs.Image(label="Output Image", type="pil")
+
+    # Create an output component for displaying the JSON response
+    df = gr.outputs.Dataframe(label="DataFrame", type="pandas")
+
+    # Create a function that will be called when the app is run
+    def process_and_display_image(input_image, ocr_type):
+        processed_image, json_response = process_image(input_image, ocr_type)
+        return processed_image, json_response
+
+    # Create the Gradio interface
+    examples = [["./data/simple.jpg"], ["./data/invoice.jpg"], ["./data/publay_sample.jpeg"]]
+    gr.Interface(fn=process_and_display_image, inputs=[image_input, ocr_type], outputs=[image_output, df], examples=examples).launch(server_port=7860,server_name="0.0.0.0")
+
+if __name__ == "__main__":
+    # Run the app
+    app()