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app.py
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import gradio as gr
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from transformers import pipeline
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model_pipeline = pipeline("text2text-generation", model="tribler/dsi-search-on-toy-dataset")
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def process_query(query):
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results = model_pipeline(query, max_length=60)
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result_text = results[0]['generated_text'].strip()
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print(result_text)
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if result_text.startswith("http"):
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youtube_id = result_text.split('watch?v=')[-1]
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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>'
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return gr.HTML(iframe)
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elif result_text.startswith("magnet"):
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return gr.HTML(f'<a href="{result_text}" target="_blank">{result_text}</a>')
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else:
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bitcoin_logo_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Bitcoin.svg/800px-Bitcoin.svg.png"
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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>')
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interface = gr.Interface(fn=process_query,
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inputs=gr.Textbox(label="Query"),
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outputs="html",
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title="Search Interface",
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description="Search for movie trailers, music torrents, and bitcoin wallet addresses.",
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article="This interface searches a toy dataset and returns a YouTube URL, magnet link, or Bitcoin wallet address.",
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examples=[["spider man"], ["oceans 13"], ["sister starlight"], ["bitcoin address of xileno"]])
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if __name__ == "__main__":
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interface.launch()
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