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import spacy |
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from spacy import displacy |
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import gradio as gr |
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nlp =spacy.load("en_pipeline") |
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def text_analysis(text): |
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doc = nlp(text) |
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html = displacy.render(doc, style="ent", page=True) |
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html = ( |
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"" |
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+ html |
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+ "" |
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) |
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pos_count = { |
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"char_count": len(text), |
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"token_count": 0, |
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} |
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pos_tokens = [] |
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return html |
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demo = gr.Interface( |
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text_analysis, |
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gr.Textbox(placeholder="Enter sentence here..."), |
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["html"], |
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examples=[ |
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["There is a challenge of food in Uganda. Gloria goes to Kyambogo University."], |
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[" She knows programming in HTML and CSS. Prof. Twinomujuni sent the team in Isingiro some 100 USD."], |
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["Students will bbe leaving the University on Friday September 20.They will graduate in 2023." ], |
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["Uganda has many parts that is the north, east, west and south."] |
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], |
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) |
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demo.launch() |
