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Browse files- app.py +28 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from transformers import pipeline
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# Load translation pipeline (English to French by default)
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translator = pipeline("translation_en_to_fr", model="Helsinki-NLP/opus-mt-en-fr")
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def translate_text(text):
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result = translator(text, max_length=100)
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return result[0]['translation_text']
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with gr.Blocks() as demo:
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gr.Markdown("## 🌍 Language Translation App (English → French)")
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with gr.Row():
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input_text = gr.Textbox(
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lines=5,
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placeholder="Enter English text here...",
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label="English Text"
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)
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output_text = gr.Textbox(
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lines=5,
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label="French Translation"
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)
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translate_btn = gr.Button("Translate")
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translate_btn.click(fn=translate_text, inputs=input_text, outputs=output_text)
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demo.launch()
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requirements.txt
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gradio>=3.30
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transformers>=4.40
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torch>=1.13
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