import os os.system('pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html') from deepdoctection.dataflow import DataFromList from deepdoctection import get_dd_analyzer from deepdoctection import Image 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='numpy', invert_colors=True, label="Original Image") outputs = gr.outputs.Image(type="numpy", label="Output Image") title = "Deepdoctection" description = "" examples = [['sample_1.jpg'],['sample_2.png']] gr.Interface(analyze_image, inputs, outputs, title=title, description=description, examples=examples).launch()