MrFeelgoood commited on
Commit
5e22f3f
·
1 Parent(s): 20f0ac1

Update app.py

Browse files

Fixed deprecated warnings

Files changed (1) hide show
  1. app.py +8 -11
app.py CHANGED
@@ -268,13 +268,13 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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  # PDF Mq Extractor
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  Set the params and switch the tabs to see the output.
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  ''')
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- with gr.Tab("Extractor", scroll_to_output = True):
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  with gr.Row():
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- pdf_input = gr.inputs.File(label="PDF File")
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  with gr.Row():
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- model_input = gr.inputs.Dropdown(['it5/it5-base-question-answering', 'it5/it5-small-question-answering'], label = 'Select model')
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- question_input = gr.inputs.Dropdown(["Quanti metri quadri misura l'immobile?"], label = 'Question')
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  with gr.Column():
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  gr.Markdown(
@@ -285,17 +285,14 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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  with gr.Row():
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- values_output = gr.outputs.Textbox(label="Area Values")
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- total_output = gr.outputs.Textbox(label="Total")
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  with gr.Row():
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  extract_button = gr.Button("Extract")
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  with gr.Tab("Ref. Text"):
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- text_output = gr.outputs.Textbox(label="Ref. Text")
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-
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  extract_button.click(fn = ocr_interface, inputs=[pdf_input, model_input, question_input], outputs=[values_output, total_output, text_output])
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- demo.launch()
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-
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-
 
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  # PDF Mq Extractor
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  Set the params and switch the tabs to see the output.
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  ''')
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+ with gr.Tab("Extractor"):
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  with gr.Row():
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+ pdf_input = gr.components.File(label="PDF File")
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  with gr.Row():
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+ model_input = gr.components.Dropdown(['it5/it5-base-question-answering', 'it5/it5-small-question-answering'], label = 'Select model')
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+ question_input = gr.components.Dropdown(["Quanti metri quadri misura l'immobile?"], label = 'Question')
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  with gr.Column():
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  gr.Markdown(
 
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  with gr.Row():
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+ values_output = gr.components.Textbox(label="Area Values")
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+ total_output = gr.components.Textbox(label="Total")
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  with gr.Row():
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  extract_button = gr.Button("Extract")
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  with gr.Tab("Ref. Text"):
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+ text_output = gr.components.Textbox(label="Ref. Text")
 
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  extract_button.click(fn = ocr_interface, inputs=[pdf_input, model_input, question_input], outputs=[values_output, total_output, text_output])
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+ demo.launch()