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import gradio as gr |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_name = "ytu-ce-cosmos/turkish-gpt2" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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def generate_text(prompt): |
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input_ids = tokenizer.encode(prompt, return_tensors="pt") |
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outputs = model.generate( |
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input_ids, |
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max_length=100, |
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do_sample=True, |
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top_p=0.95, |
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temperature=0.8, |
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pad_token_id=tokenizer.eos_token_id |
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) |
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return tokenizer.decode(outputs[0], skip_special_tokens=True) |
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demo = gr.Interface( |
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fn=generate_text, |
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inputs=gr.Textbox(label="Türkçe Başlangıç Metni", placeholder="Bir cümle yaz..."), |
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outputs=gr.Textbox(label="Üretilen Türkçe Metin"), |
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title="Türkçe GPT‑2 Metin Üretici", |
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description="Türkçe GPT‑2 ile metin devam ettirme" |
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) |
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demo.launch() |
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