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{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7860\n",
"* To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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},
{
"data": {
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},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import gradio as gr\n",
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
"import torch\n",
"\n",
"# بارگذاری مدل و توکنایزر\n",
"tokenizer = AutoTokenizer.from_pretrained(\"HooshvareLab/gpt2-fa\")\n",
"model = AutoModelForCausalLM.from_pretrained(\"HooshvareLab/gpt2-fa\")\n",
"\n",
"# تابع تولید متن با دستور\n",
"def generate_with_instruction(instruction):\n",
" prompt = f\"دستور: {instruction}\\nپاسخ:\"\n",
" input_ids = tokenizer.encode(prompt, return_tensors=\"pt\")\n",
" output = model.generate(\n",
" input_ids,\n",
" max_new_tokens=900,\n",
" do_sample=True,\n",
" temperature=0.7,\n",
" top_k=50,\n",
" top_p=0.92,\n",
" repetition_penalty=1.3,\n",
" no_repeat_ngram_size=3,\n",
" pad_token_id=tokenizer.eos_token_id,\n",
" eos_token_id=tokenizer.eos_token_id\n",
" )\n",
" return tokenizer.decode(output[0], skip_special_tokens=True)\n",
"\n",
"# رابط گرافیکی\n",
"gr.Interface(\n",
" fn=generate_with_instruction,\n",
" inputs=gr.Textbox(label=\"📝 دستور وارد کنید\", placeholder=\"مثلاً: درباره‌ی تاثیر ورزش بر ذهن بنویس\", lines=3),\n",
" outputs=gr.Textbox(label=\"📄 پاسخ مدل\"),\n",
" title=\"💬 دستور به مدل GPT2 فارسی\",\n",
" description=\"با وارد کردن دستور در قالب فارسی، مدل شروع به تولید متن می‌کند. مثل: نوشتن، خلاصه‌سازی یا ترجمه.\",\n",
" theme=\"soft\"\n",
").launch()\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b693482a-21c0-483f-bb46-deb050ce82ee",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7860\n",
"* To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
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},
{
"data": {
"text/plain": []
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import gradio as gr\n",
"from transformers import GPT2LMHeadModel, GPT2Tokenizer\n",
"import torch\n",
"\n",
"# بارگذاری مدل و توکنایزر\n",
"model_name = \"HooshvareLab/gpt2-fa\"\n",
"model = GPT2LMHeadModel.from_pretrained(model_name)\n",
"tokenizer = GPT2Tokenizer.from_pretrained(model_name)\n",
"\n",
"# تنظیم مدل برای تولید متن\n",
"model.eval()\n",
"\n",
"# تابعی برای تولید متن\n",
"def generate_text(prompt):\n",
" input_ids = tokenizer.encode(prompt, return_tensors='pt')\n",
" \n",
" # تولید متن\n",
" with torch.no_grad():\n",
" output = model.generate(input_ids, max_length=100, num_return_sequences=1, no_repeat_ngram_size=2, temperature=0.7)\n",
"\n",
" # تبدیل توکن‌های خروجی به متن\n",
" generated_text = tokenizer.decode(output[0], skip_special_tokens=True)\n",
" \n",
" return generated_text\n",
"\n",
"# تعریف رابط کاربری با Gradio\n",
"iface = gr.Interface(fn=generate_text, inputs=\"text\", outputs=\"text\", live=True, title=\"تولید متن فارسی با مدل GPT-2\")\n",
"\n",
"# اجرا کردن رابط\n",
"iface.launch()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fc890196-c4bf-4b01-ab3c-0796836f9355",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "conda-base-py"
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"file_extension": ".py",
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