Updated demo
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README.md
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title: Demo
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emoji:
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sdk: streamlit
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app_file: app.py
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pinned:
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#
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Display title for the Space
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`emoji`: _string_
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Space emoji (emoji-only character allowed)
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`colorFrom`: _string_
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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`colorTo`: _string_
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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`sdk`: _string_
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Can be either `gradio` or `streamlit`
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`sdk_version` : _string_
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Only applicable for `streamlit` SDK.
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See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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`app_file`: _string_
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Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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Path is relative to the root of the repository.
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`pinned`: _boolean_
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Whether the Space stays on top of your list.
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title: HuSpaCy Demo
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emoji: 🚀
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colorFrom: indigo
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sdk: streamlit
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app_file: app.py
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pinned: true
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# 🚀 HuSpacy Demo
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This repository contains an app demonstrating the capabilities of [HuSpaCy](https://github.com/spacy-hu/spacy-hungarian-models). The demo is available at [Hugging Face Spaces](https://huggingface.co/spaces/huspacy/demo)
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app.py
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import spacy_streamlit
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import spacy_streamlit
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models = {"hu_core_news_lg": "hu_core_news_lg"}
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default_text = """Újraoltatta magát Szputnyik Light vakcinával a Covid-19 ellen Vlagyimir Putyin orosz elnök.
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Itt az újabb kamatdöntés napja. Az MNB adhat irányt a forintnak."""
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spacy_streamlit.visualize(
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models,
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default_text,
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["parser", "ner", "tokens", "similarity"],
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show_json_doc = False,
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sidebar_title = "🚀 HuSpaCy",
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sidebar_description = "Industrial strength Hungarian NLP",
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similarity_texts = ("kifli", "zsemle"),
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show_logo = False
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)
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