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Asım Ersoy
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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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model = pipeline("text2text-generation", model="asimokby/Turkish-GPT-GEC-v0")
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def generate_text(prompt):
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return model(prompt, max_length=500)[0]['generated_text']
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description = """A demo for our Turkish GEC model. Paper: https://arxiv.org/pdf/2405.15320"""
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article = "Find more models and datasets related to Turkish GEC 🚀: https://github.com/asimokby (Paper: https://arxiv.org/pdf/2405.15320)"
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iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
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iface.launch()
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