app.py

import os
os.system('pip uninstall vidfetch -y')
os.system('pip install -U https://github.com/dailingx/VidFetch/archive/master.zip')
os.system('pip install --upgrade google-api-python-client')

import sys
import gradio as gr
from vidfetch.website.youtube import YoutubeVideoDataset


def fetch(
    key_word: str,
    dev_key: str,
    hf_token: str,
    hf_ds_repo_id: str
):
    youtube_video_dataset = YoutubeVideoDataset(
        root_dir="./",
        google_cloud_developer_key=dev_key,
        search_keyword=key_word,
        video_max_num=1,
        hf_token=hf_token,
        hf_ds_repo_id=hf_ds_repo_id
    )
    youtube_video_dataset.download()
    return key_word


with gr.Blocks() as demo:
    gr.Markdown('''OpenVideo Youtube fetch demo''')
    with gr.Row():
        with gr.Column():
            kw_input_text = gr.Text(label='Keyword')
            dev_key_input_text = gr.Text(label='Google Cloud Developer Key')
            hf_token_input_text = gr.Text(label='HF Token')
            hf_ds_repo_id_text = gr.Text(label='HF Dataset Repo ID, like: OpenVideo/YouTube-Commons-5G-Raw')
            fetch_btn = gr.Button("Fetch")
        result = gr.Text()

    fetch_btn.click(fn=fetch, inputs=[kw_input_text, dev_key_input_text, hf_token_input_text, hf_ds_repo_id_text],
                    outputs=[result])


if __name__ == "__main__":
    demo.queue(max_size=1)
    demo.launch(share=False, max_threads=1)