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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 translation pipeline with source (en) and target (de) languages
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pipe = pipeline("translation_en_to_de", model="google-t5/t5-small")
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# Define a translation function
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def translate(text):
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return pipe(text)[0]['translation_text']
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# Set up the Gradio interface with updated components
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app = gr.Interface(
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fn=translate, # Function for translation
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inputs=gr.Textbox(lines=2, placeholder="Enter text to translate"), # Updated input field
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outputs=gr.Textbox(), # Updated output field
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title="Text Translator", # Title of the app
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description="Enter text to translate from English to German using Google T5 small model."
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)
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# Launch the app
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if __name__ == "__main__":
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app.launch()
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