from deepdoctection.dataflow import DataFromList
from deepdoctection import get_dd_analyzer
import gradio as gr


def analyze_image(img):
    # creating an image object and passing to the analyzer by using dataflows
    image = Image(file_name="input.png", location="")
    image.image = img

    df = DataFromList(lst=[image])

    analyzer = get_dd_analyzer(ocr=False)

    df = analyzer.analyze(dataset_dataflow=df)
    df.reset_state()
    dp = next(iter(df))


return dp.viz(show_cells=False)

inputs = gr.inputs.Image(type='pil', label="Original Image")
outputs = gr.outputs.Image(type="pil", label="Output Image")

title = "Deepdoctection"
description = ""

# examples = [
#    ['example-table.jpeg'],
#    ['paper-image.jpeg']

# ]

gr.Interface(analyze_image, inputs, outputs, title=title, description=description, examples=examples).launch()