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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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# Initialize the spelling correction pipeline with max_new_tokens parameter
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spelling_correction_pipe = pipeline("text2text-generation", model="Elalimy/english_spelling_correction", max_new_tokens=100)
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# Define the spelling correction function
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def correct_spelling(text):
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# Perform spelling correction
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corrected_text = spelling_correction_pipe(text)[0]['generated_text'].strip()
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return corrected_text
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# Create the Gradio interface
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iface = gr.Interface(
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fn=correct_spelling,
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inputs="text",
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outputs="text",
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title="Spelling Correction",
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description="Enter a text to get the corrected spelling."
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)
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# Launch the Gradio app
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if __name__ == "__main__":
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iface.launch()
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