Vaibhav Srivastav commited on
Commit
9748913
1 Parent(s): be4b9ed

localisation -> deutsch

Browse files
Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -278,7 +278,7 @@ gradio-app h2, .gradio-app h2 {
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  """
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  with gr.Blocks(css=CSS) as demo:
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- gr.Markdown("# UnstructuredQuery: Unstructured Document Query Engine")
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  document = gr.Variable()
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  example_question = gr.Textbox(visible=False)
@@ -287,7 +287,7 @@ with gr.Blocks(css=CSS) as demo:
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  with gr.Row(equal_height=True):
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  with gr.Column():
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  with gr.Row():
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- gr.Markdown("## 1. Select a file", elem_id="select-a-file")
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  img_clear_button = gr.Button(
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  "Clear", variant="secondary", elem_id="file-clear", visible=False
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  )
@@ -318,9 +318,9 @@ with gr.Blocks(css=CSS) as demo:
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  )
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  with gr.Column() as col:
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- gr.Markdown("## 2. Ask a question")
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  question = gr.Textbox(
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- label="Question",
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  placeholder="e.g. What is the invoice number?",
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  lines=1,
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  max_lines=1,
@@ -332,13 +332,13 @@ with gr.Blocks(css=CSS) as demo:
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  )
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  with gr.Row():
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- clear_button = gr.Button("Clear", variant="secondary")
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  submit_button = gr.Button(
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- "Submit", variant="primary", elem_id="submit-button"
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  )
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  with gr.Column():
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  output_text = gr.Textbox(
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- label="Top Answer", visible=False, elem_id="answer"
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  )
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  output = gr.JSON(label="Output", visible=False)
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  """
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  with gr.Blocks(css=CSS) as demo:
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+ gr.Markdown("# Demo: Abfragen von Daten aus einem PDF-Dokument mithilfe von Machine Learning")
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  document = gr.Variable()
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  example_question = gr.Textbox(visible=False)
 
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  with gr.Row(equal_height=True):
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  with gr.Column():
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  with gr.Row():
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+ gr.Markdown("## 1. Datei aushwählen", elem_id="select-a-file")
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  img_clear_button = gr.Button(
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  "Clear", variant="secondary", elem_id="file-clear", visible=False
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  )
 
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  )
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  with gr.Column() as col:
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+ gr.Markdown("## 2. Fragen Sie eine Frage")
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  question = gr.Textbox(
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+ label="Fragestellung",
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  placeholder="e.g. What is the invoice number?",
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  lines=1,
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  max_lines=1,
 
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  )
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  with gr.Row():
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+ clear_button = gr.Button("Absenden", variant="secondary")
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  submit_button = gr.Button(
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+ "Löschen", variant="primary", elem_id="submit-button"
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  )
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  with gr.Column():
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  output_text = gr.Textbox(
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+ label="Das wahrschneinlichste Ergebnis auf Ihre Frage lautet:", visible=False, elem_id="answer"
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  )
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  output = gr.JSON(label="Output", visible=False)
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