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Update app.py
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app.py
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@@ -97,10 +97,10 @@ iface = gr.Interface(
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title='Generación de poemas',
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description="""<p>For the participation in the First Spanish Hackathon of NLP the team worked with two datasets.</p>
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<ul>
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<li>The first one was a collection of
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<li>the second one was a collection of
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<p>For the dataset of sonnets was trained a GPT-2 model that you can find
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<p>For the second dataset was trained a T5 model that you can find
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inputs=
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[
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gr.inputs.Dropdown(sorted(author_set), type="value", label='Nombre del autor'),
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title='Generación de poemas',
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description="""<p>For the participation in the First Spanish Hackathon of NLP the team worked with two datasets.</p>
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<ul>
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<li>The first one was a collection of <a href="https://huggingface.co/datasets/hackathon-pln-es/disco_spanish_poetry">sonnets in Spanish</a>, and</li>
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<li>the second one was a collection of <a href="https://huggingface.co/datasets/hackathon-pln-es/spanish-poetry-dataset">poems</a>.</li>
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<p>For the dataset of sonnets was trained a GPT-2 model that you can find <a href="https://huggingface.co/hackathon-pln-es/gpt2-small-spanish-disco-poetry">here</a> and was created this <a href="https://huggingface.co/spaces/hackathon-pln-es/sonnet-poetry-generator-spanish">space</a>.</p>
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<p>For the second dataset was trained a T5 model that you can find <a href="https://huggingface.co/hackathon-pln-es/poem-gen-spanish-t5-small">here</a> and this is the space that was created to play with it :)</p>""",
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inputs=
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[
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gr.inputs.Dropdown(sorted(author_set), type="value", label='Nombre del autor'),
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