Update app.py
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app.py
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import gradio as gr
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from comet import download_model, load_from_checkpoint
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model_path = download_model("wasanx/ComeTH")
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model = load_from_checkpoint(model_path)
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def score_translation(src_text, mt_text):
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translations = [{"src": src_text, "mt": mt_text}]
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results = model.predict(translations, batch_size=1, gpus=1)
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return scores
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with gr.Row():
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with gr.Column():
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src_input = gr.Textbox(label="Source Text (English)")
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mt_input = gr.Textbox(label="Machine Translation
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with gr.Column():
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score_output = gr.Label(
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import gradio as gr
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from comet import download_model, load_from_checkpoint
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import os
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model_path = os.environ.get("HF_MODEL_PATH", download_model("wasanx/ComeTH"))
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model = load_from_checkpoint(model_path)
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def score_translation(src_text, mt_text):
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translations = [{"src": src_text, "mt": mt_text}]
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results = model.predict(translations, batch_size=1, gpus=1)
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return results['scores'][0]
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examples = [
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["The weather is beautiful today.", "วันนี้อากาศดีมาก"],
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["I need to go to the hospital.", "ฉันต้องไปโรงพยาบาล"],
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["This restaurant serves delicious food.", "ร้านอาหารนี้เสิร์ฟอาหารอร่อย"],
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["Can you help me find the nearest train station?", "คุณช่วยฉันหาสถานีรถไฟที่ใกล้ที่สุดได้ไหม"]
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]
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# ComeTH Translation Quality Evaluator")
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with gr.Row():
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with gr.Column():
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src_input = gr.Textbox(label="Source Text (English)", placeholder="Enter English text here...")
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mt_input = gr.Textbox(label="Machine Translation (Thai)", placeholder="Enter Thai translation here...")
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score_button = gr.Button("Evaluate Translation", variant="primary")
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with gr.Column():
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score_output = gr.Label(label="Quality Scores")
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gr.Markdown("### Higher scores indicate better translation quality across multiple dimensions")
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gr.Examples(examples=examples, inputs=[src_input, mt_input], outputs=score_output, fn=score_translation)
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score_button.click(fn=score_translation, inputs=[src_input, mt_input], outputs=score_output)
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if __name__ == "__main__":
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demo.launch()
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