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Create app.py
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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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# Load the paraphrasing pipeline
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paraphraser = pipeline("text2text-generation", model="Vamsi/T5_Paraphrase_Paws")
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# Define a function that calls the model
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def paraphrase_text(text):
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result = paraphraser(
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text,
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max_length=128,
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do_sample=True,
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top_k=120,
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num_return_sequences=1
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)
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return result[0]['generated_text']
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# Create a Gradio interface
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iface = gr.Interface(
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fn=paraphrase_text,
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inputs=gr.Textbox(lines=6, placeholder="Paste your AI-generated text here..."),
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outputs="text",
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title="AI Text Humanizer",
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description="Make AI-generated text sound more human-like using T5 paraphraser.",
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theme="compact"
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)
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# Launch the app
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iface.launch()
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