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import json |
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import gradio as gr |
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import pandas as pd |
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def read_json(file_name): |
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with open(file_name, "r") as f: |
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json_data = json.load(f) |
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return json_data |
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json_file = "awesome-japanese-nlp-resources-search.json" |
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json_data = read_json(json_file) |
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data = {"project_name": [], "source": [], "description": []} |
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for data_json in json_data: |
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url = data_json["url"] |
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description = data_json["description"] |
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project_name = data_json["project_name"] |
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source = data_json["source"] |
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data["project_name"].append(f"[{project_name}]({url})") |
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data["source"].append(source) |
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data["description"].append(description) |
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data = pd.DataFrame(data) |
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def show_search_results(query): |
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query = query.lower() |
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contained_description = data["description"].str.contains(query) |
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contained_project_name = data["project_name"].str.contains(query) |
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df_search = data[contained_description | contained_project_name] |
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return df_search |
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with gr.Blocks() as demo: |
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gr.Markdown( |
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""" |
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# Awesome Japanese NLP resources search π |
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You can search for open-source software from [1000+ Japanese NLP repositories](https://github.com/taishi-i/awesome-japanese-nlp-resources). |
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""" |
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) |
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query = gr.Textbox( |
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label="Search English or Japanese words", placeholder="llm" |
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) |
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df = gr.DataFrame(type="pandas", datatype="markdown", height=1000) |
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query.change(fn=show_search_results, inputs=query, outputs=df) |
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demo.launch() |
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