{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "9991fa5b-c41f-4117-a81f-75727fa4a74d", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a77abb8840a9407ebf60f186551f64d4", "version_major": 2, "version_minor": 0 }, "text/plain": [ "pytorch_model.bin: 0%| | 0.00/485M [00:00" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [] }, "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\n", "def generate_text(prompt):\n", " input_ids = tokenizer.encode(prompt, return_tensors=\"pt\")\n", " output = model.generate(\n", " input_ids,\n", " max_new_tokens=120,\n", " do_sample=True,\n", " temperature=0.7,\n", " top_k=40,\n", " top_p=0.9,\n", " repetition_penalty=1.3,\n", " pad_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_text,\n", " inputs=gr.Textbox(label=\"متن ورودی (پرامپت)\", placeholder=\"مثلاً: در یک روز بهاری،\"),\n", " outputs=gr.Textbox(label=\"متن تولید شده\"),\n", " title=\"تولید متن فارسی با GPT2\",\n", " description=\"مدل: bolbolzaban/gpt2-persian - تولید خودکار متن طبیعی به زبان فارسی\"\n", ").launch()\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "c4d50353-c26f-45a9-9962-da748dc618f4", "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": [ "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [] }, "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 تنظیمات دقیق\n", "def generate_text(prompt):\n", " input_ids = tokenizer.encode(prompt, return_tensors=\"pt\")\n", " output = model.generate(\n", " input_ids,\n", " max_new_tokens=150,\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", "# ساخت رابط گرافیکی با Gradio\n", "gr.Interface(\n", " fn=generate_text,\n", " inputs=gr.Textbox(label=\"📝 متن ورودی (پرامپت)\", placeholder=\"مثلاً: در یک روز بهاری،\", lines=3),\n", " outputs=gr.Textbox(label=\"📄 متن تولید شده\"),\n", " title=\"💬 تولید متن فارسی دقیق با GPT2\",\n", " description=\"این ابزار از مدل bolbolzaban/gpt2-persian استفاده می‌کند و متن روان و طبیعی به زبان فارسی تولید می‌کند.\",\n", " theme=\"soft\"\n", ").launch()\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "eba7eda5-f61f-434c-b500-58a8b33c6f0e", "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": [ "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [] }, "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=150,\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": null, "id": "b83582e3-9740-46a5-8a1b-6329acb9ef16", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:base] *", "language": "python", "name": "conda-base-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 5 }