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app.py

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+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()