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Update app.py
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app.py
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@@ -35,13 +35,15 @@ description = """A demo by M Sheriff for table extraction with the Table Transfo
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First, table detection is performed on the input image using https://huggingface.co/microsoft/table-transformer-detection,
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after which the detected table is extracted and https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all recognizes the
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individual rows, columns and cells. OCR is then performed per cell, row by row."""
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app = gr.Interface(fn=process_pdf,
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inputs=gr.Image(type="pil"),
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outputs=[gr.Image(type="pil", label="Detected table"), gr.Dataframe(label="Table as CSV"), gr.JSON(label="Data as JSON")],
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title=title,
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description=description,
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examples=examples
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app.queue()
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app.launch(debug=True)
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First, table detection is performed on the input image using https://huggingface.co/microsoft/table-transformer-detection,
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after which the detected table is extracted and https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all recognizes the
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individual rows, columns and cells. OCR is then performed per cell, row by row."""
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# examples = [['image.png'], ['mistral_paper.png']]
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app = gr.Interface(fn=process_pdf,
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inputs=gr.Image(type="pil"),
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outputs=[gr.Image(type="pil", label="Detected table"), gr.Dataframe(label="Table as CSV"), gr.JSON(label="Data as JSON")],
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title=title,
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description=description,
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# examples=examples
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)
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app.queue()
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app.launch(debug=True)
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