app.py

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


data = {"project_name": [], "description": []}

json_file = "awesome-ChatGPT-repositories.json"
json_data = read_json(json_file)
for v in json_data["contents"].values():
    for url, repo in v.items():
        description = repo["multilingual_descriptions"]["en"]
        project_name = repo["repository_name"]
        data["project_name"].append(f"[{project_name}]({url})")
        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 ChatGPT repositories search 🔎
    You can search for open-source software from [1500+ repositories](https://github.com/taishi-i/awesome-ChatGPT-repositories).
    """
    )

    query = gr.Textbox(label="Search words", placeholder="prompt")
    df = gr.DataFrame(
        value=data, type="pandas", datatype="markdown", height=1000
    )

    query.change(fn=show_search_results, inputs=query, outputs=df)

demo.launch()