| import gradio as gr | |
| from utils import get_comments, get_users_from_keyword | |
| with gr.Blocks() as iface1: | |
| with gr.Row(): | |
| input_url =gr.Textbox(label="Instagram URL") | |
| search = gr.Button("Search") | |
| output_component = gr.Dataframe(headers=['username','comment_text','user_is_verfied','user_is_private', 'commment_like_count']) | |
| search.click(fn=get_comments, inputs=input_url, outputs=output_component,api_name="search_function") | |
| with gr.Blocks() as iface2: | |
| with gr.Row(): | |
| input_url =gr.Textbox(label="Keyword") | |
| search = gr.Button("Search") | |
| output_component = gr.Dataframe(headers=['username','is_verified']) | |
| search.click(fn=get_users_from_keyword, inputs=input_url, outputs=output_component,api_name="search_function") | |
| demo = gr.TabbedInterface([iface1, iface2], [ | |
| "Instagram comment extractor", "Instagram user keyword search"], | |
| title = "Instagram scraping tool") | |
| demo.launch(share=True) | |