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