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app.py
CHANGED
@@ -90,7 +90,7 @@ def show_details(document_name, selected_data_source):
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with gr.Blocks() as demo:
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gr.Markdown("""
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## π Preview Text Retrieval Results with Marqo Vector Database
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<div style="font-size:
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<p><b>Instructions:</b> Browse through the retrieval results for the text prompt <i>"Pferd, Pferde"</i> by sliding the page slider (up to 100 first retrieval results can be inspected).
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To visualise details about the retrieved text chunk, copy and paste the document name (e.g. <i>Z166069305_430</i>) in the search bar below and click on the <i>Inspect</i> button. Please note that pressing <i>Enter</i> does not work.</p>
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</div>""")
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@@ -137,7 +137,7 @@ with gr.Blocks() as demo:
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# Further information block at the end
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gr.Markdown("""
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## π Further Information
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<div style="font-size:
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<p>This demo lets you explore our preliminary results for retrieving <i>nature</i> representations in imperfect OCR data extracted from 17-19 century German texts.
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This research was done in the <a href="https://onit.oeaw.ac.at/">Ottoman Nature in Travelogues (ONiT)</a> project and funded by the Austrian Science Fund (FWF: P 35245).
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The text retrieval was done with hybrid vector/lexical search (BM25) by using a <a href="https://docs.marqo.ai/">Marqo</a>
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with gr.Blocks() as demo:
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gr.Markdown("""
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## π Preview Text Retrieval Results with Marqo Vector Database
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<div style="font-size: 18px;">
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<p><b>Instructions:</b> Browse through the retrieval results for the text prompt <i>"Pferd, Pferde"</i> by sliding the page slider (up to 100 first retrieval results can be inspected).
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To visualise details about the retrieved text chunk, copy and paste the document name (e.g. <i>Z166069305_430</i>) in the search bar below and click on the <i>Inspect</i> button. Please note that pressing <i>Enter</i> does not work.</p>
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</div>""")
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# Further information block at the end
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gr.Markdown("""
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## π Further Information
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<div style="font-size: 18px;">
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<p>This demo lets you explore our preliminary results for retrieving <i>nature</i> representations in imperfect OCR data extracted from 17-19 century German texts.
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This research was done in the <a href="https://onit.oeaw.ac.at/">Ottoman Nature in Travelogues (ONiT)</a> project and funded by the Austrian Science Fund (FWF: P 35245).
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The text retrieval was done with hybrid vector/lexical search (BM25) by using a <a href="https://docs.marqo.ai/">Marqo</a>
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