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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 MarianMTModel, MarianTokenizer
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# Load pre-trained models
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model_en_to_ur = MarianMTModel.from_pretrained("Helsinki-NLP/opus-mt-en-ur")
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tokenizer_en_to_ur = MarianTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ur")
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model_ur_to_en = MarianMTModel.from_pretrained("Helsinki-NLP/opus-mt-ur-en")
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tokenizer_ur_to_en = MarianTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ur-en")
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def translate(text, direction):
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"""Translates text based on selected direction."""
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if direction == "English β Urdu":
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tokenizer, model = tokenizer_en_to_ur, model_en_to_ur
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else:
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tokenizer, model = tokenizer_ur_to_en, model_ur_to_en
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inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
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translated = model.generate(**inputs)
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return tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
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# Custom CSS for Better UI
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custom_css = """
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h1 {
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text-align: center;
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font-size: 2em;
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color: #007BFF;
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}
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.gradio-container {
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font-family: 'Arial', sans-serif;
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background-color: #f9f9f9;
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padding: 20px;
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border-radius: 10px;
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}
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.input-container textarea {
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font-size: 16px !important;
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border-radius: 12px !important;
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border: 2px solid #007BFF !important;
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}
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.button {
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background-color: #007BFF !important;
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color: white !important;
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font-size: 16px;
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border-radius: 10px !important;
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padding: 10px 20px !important;
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}
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.output-container {
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background-color: white;
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padding: 15px;
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border-radius: 12px;
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border: 1px solid #ddd;
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}
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"""
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# Gradio UI
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with gr.Blocks(css=custom_css) as app:
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gr.Markdown("# π **English β Urdu Translator**")
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gr.Markdown("Translate text between English and Urdu effortlessly!")
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with gr.Row():
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text_input = gr.Textbox(placeholder="Type text here...", label="Enter Text", lines=3)
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direction = gr.Radio(["English β Urdu", "Urdu β English"], label="Translation Direction", value="English β Urdu")
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translate_button = gr.Button("π Translate")
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output_text = gr.Textbox(label="Translated Text", interactive=False)
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translate_button.click(translate, inputs=[text_input, direction], outputs=output_text)
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app.launch()
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