| import gradio as gr | |
| from transformers import pipeline | |
| model_pipeline = pipeline("text2text-generation", model="tribler/dsi-search-on-toy-dataset") | |
| def process_query(query): | |
| results = model_pipeline(query, max_length=60) | |
| result_text = results[0]['generated_text'].strip() | |
| if result_text.startswith("http"): | |
| youtube_id = result_text.split('watch?v=')[-1] | |
| iframe = f'<iframe width="560" height="315" src="https://www.youtube.com/embed/{youtube_id}" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>' | |
| return gr.HTML(iframe) | |
| elif result_text.startswith("magnet"): | |
| return gr.HTML(f'<a href="{result_text}" target="_blank">{result_text}</a>') | |
| else: | |
| bitcoin_logo_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Bitcoin.svg/800px-Bitcoin.svg.png" | |
| return gr.Textbox(f'<div style="display:flex;align-items:center;"><img src="{bitcoin_logo_url}" alt="Bitcoin Logo" style="width:20px;height:20px;margin-right:5px;"><span>{result_text}</span></div>') | |
| interface = gr.Interface(fn=process_query, | |
| inputs=gr.Textbox(label="Query"), | |
| outputs="html", | |
| title="Search Interface", | |
| description="Search for movie trailers, music torrents, and bitcoin wallet addresses.", | |
| article="This interface searches a toy dataset and returns a YouTube URL, magnet link, or Bitcoin wallet address.", | |
| examples=[["spider man"], ["oceans 13"], ["sister starlight"], ["bitcoin address of xileno"]]) | |
| if __name__ == "__main__": | |
| interface.launch() | |