Upload Gradio_GPT_bot.ipynb
Browse files- Gradio_GPT_bot.ipynb +459 -0
Gradio_GPT_bot.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"collapsed_sections": [
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"j4fr7yW8YPav",
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"E_ZbiAPAYJEF",
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"MgzsPmnx90zW",
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"9BiPlUf6YOzO"
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]
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
|
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"name": "python"
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}
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},
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"cells": [
|
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{
|
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"cell_type": "markdown",
|
34 |
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"source": [
|
35 |
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"# Imports"
|
36 |
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],
|
37 |
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"metadata": {
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38 |
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"id": "j4fr7yW8YPav"
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39 |
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}
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},
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{
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42 |
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"cell_type": "code",
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"source": [
|
44 |
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"%%capture\n",
|
45 |
+
"# установка gradio для написания веб интерефейса\n",
|
46 |
+
"# установка transformers для использования языковых моделей с платформы HF\n",
|
47 |
+
"\n",
|
48 |
+
"!pip install gradio transformers"
|
49 |
+
],
|
50 |
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"metadata": {
|
51 |
+
"id": "bUw0V7CaLYou"
|
52 |
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},
|
53 |
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"execution_count": 11,
|
54 |
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"outputs": []
|
55 |
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},
|
56 |
+
{
|
57 |
+
"cell_type": "code",
|
58 |
+
"source": [
|
59 |
+
"import random\n",
|
60 |
+
"import time\n",
|
61 |
+
"from typing import List, Dict, Tuple, Union\n",
|
62 |
+
"from IPython import display\n",
|
63 |
+
"\n",
|
64 |
+
"import gradio as gr\n",
|
65 |
+
"import torch\n",
|
66 |
+
"import transformers"
|
67 |
+
],
|
68 |
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"metadata": {
|
69 |
+
"id": "QQfY77Hx9by9"
|
70 |
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},
|
71 |
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"execution_count": 12,
|
72 |
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"outputs": []
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"cell_type": "code",
|
76 |
+
"source": [
|
77 |
+
"# версии библиотек\n",
|
78 |
+
"!pip list | grep -P \"torch|transformers|gradio\""
|
79 |
+
],
|
80 |
+
"metadata": {
|
81 |
+
"id": "2ev61KO7ne-A",
|
82 |
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"outputId": "3ecf029f-b1b1-448a-e252-b24a08be137e",
|
83 |
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"colab": {
|
84 |
+
"base_uri": "https://localhost:8080/"
|
85 |
+
}
|
86 |
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},
|
87 |
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"execution_count": 13,
|
88 |
+
"outputs": [
|
89 |
+
{
|
90 |
+
"output_type": "stream",
|
91 |
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"name": "stdout",
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"text": [
|
93 |
+
"gradio 4.4.1\n",
|
94 |
+
"gradio_client 0.7.0\n",
|
95 |
+
"torch 2.1.0+cu118\n",
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96 |
+
"torchaudio 2.1.0+cu118\n",
|
97 |
+
"torchdata 0.7.0\n",
|
98 |
+
"torchsummary 1.5.1\n",
|
99 |
+
"torchtext 0.16.0\n",
|
100 |
+
"torchvision 0.16.0+cu118\n",
|
101 |
+
"transformers 4.35.2\n"
|
102 |
+
]
|
103 |
+
}
|
104 |
+
]
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"cell_type": "markdown",
|
108 |
+
"source": [
|
109 |
+
"# Tokenizer and Model"
|
110 |
+
],
|
111 |
+
"metadata": {
|
112 |
+
"id": "E_ZbiAPAYJEF"
|
113 |
+
}
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"cell_type": "markdown",
|
117 |
+
"source": [
|
118 |
+
"**Инициализация модели** \n",
|
119 |
+
"Страница модели \n",
|
120 |
+
"https://huggingface.co/ai-forever/rugpt3medium_based_on_gpt2"
|
121 |
+
],
|
122 |
+
"metadata": {
|
123 |
+
"id": "mc1bW8QXYZ7z"
|
124 |
+
}
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"cell_type": "code",
|
128 |
+
"source": [
|
129 |
+
"from transformers import pipeline\n",
|
130 |
+
"from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig\n",
|
131 |
+
"\n",
|
132 |
+
"# # инициализация через pipeline\n",
|
133 |
+
"# model_name = \"ai-forever/rugpt3medium_based_on_gpt2\"\n",
|
134 |
+
"# pipe = pipeline(\"text-generation\", model=model_name)\n",
|
135 |
+
"# sample = pipeline('test test', pad_token_id=generator.tokenizer.eos_token_id)\n",
|
136 |
+
"\n",
|
137 |
+
"model_name = \"ai-forever/rugpt3medium_based_on_gpt2\"\n",
|
138 |
+
"model = AutoModelForCausalLM.from_pretrained(model_name)\n",
|
139 |
+
"tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
|
140 |
+
"tokenizer.pad_token_id = tokenizer.eos_token_id\n",
|
141 |
+
"\n",
|
142 |
+
"DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
|
143 |
+
"model = model.to(DEVICE)"
|
144 |
+
],
|
145 |
+
"metadata": {
|
146 |
+
"id": "AGV9Y2fJHVI1"
|
147 |
+
},
|
148 |
+
"execution_count": 14,
|
149 |
+
"outputs": []
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"cell_type": "markdown",
|
153 |
+
"source": [
|
154 |
+
"Генерация текста"
|
155 |
+
],
|
156 |
+
"metadata": {
|
157 |
+
"id": "D7U6M4oyZRqq"
|
158 |
+
}
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"cell_type": "code",
|
162 |
+
"source": [
|
163 |
+
"%%time\n",
|
164 |
+
"\n",
|
165 |
+
"# токенизация текста в индексы токенов и маски внимания\n",
|
166 |
+
"text_promt = 'меня засосала опасная трясина '\n",
|
167 |
+
"inputs = tokenizer(text_promt, return_tensors=\"pt\").to(DEVICE)\n",
|
168 |
+
"\n",
|
169 |
+
"# конфиг словарь для генерации текста\n",
|
170 |
+
"gen_config_dict = dict(\n",
|
171 |
+
" do_sample=True, # делать ли случайное семплирование с параметрами ниже (если False то выскочит предупреждение)\n",
|
172 |
+
" max_new_tokens=30, # сколько максимум новых токенов надо генерировать\n",
|
173 |
+
" top_k=50, # семплировать только из top_k самых вероятных токенов\n",
|
174 |
+
" top_p=0.9, # семплировать только из токенов сумма вероятностей которых не больше top_p\n",
|
175 |
+
" temperature=2.0, # температура для софтмакса\n",
|
176 |
+
" num_beams=3, # параметр алгоритма Beam search\n",
|
177 |
+
" repetition_penalty=2.0, # штраф за то что модель повторяется\n",
|
178 |
+
" pad_token_id=tokenizer.pad_token_id, # установить токен pad чтобы не было предупреждения\n",
|
179 |
+
" )\n",
|
180 |
+
"# конфиг для генерации текста из словаря\n",
|
181 |
+
"generation_config = GenerationConfig(**gen_config_dict)\n",
|
182 |
+
"\n",
|
183 |
+
"# генерация текста (индексы токенов)\n",
|
184 |
+
"output = model.generate(**inputs, generation_config=generation_config)\n",
|
185 |
+
"\n",
|
186 |
+
"# сопостовление идексам токенов слов из словаря токенайзера\n",
|
187 |
+
"generated_text = tokenizer.decode(output[0], skip_special_tokens=False)\n",
|
188 |
+
"\n",
|
189 |
+
"# удаление исходного промта из ответа потому что он тоже возвращается\n",
|
190 |
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"generated_text = generated_text[len(text_promt):]\n",
|
191 |
+
"generated_text"
|
192 |
+
],
|
193 |
+
"metadata": {
|
194 |
+
"id": "pSWP_0d4IE9_",
|
195 |
+
"colab": {
|
196 |
+
"base_uri": "https://localhost:8080/",
|
197 |
+
"height": 70
|
198 |
+
},
|
199 |
+
"outputId": "2841a9d8-387d-42f2-e1b1-1fcec48b444d"
|
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+
},
|
201 |
+
"execution_count": 15,
|
202 |
+
"outputs": [
|
203 |
+
{
|
204 |
+
"output_type": "stream",
|
205 |
+
"name": "stdout",
|
206 |
+
"text": [
|
207 |
+
"CPU times: user 11.4 s, sys: 27.2 ms, total: 11.5 s\n",
|
208 |
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"Wall time: 15.6 s\n"
|
209 |
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]
|
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},
|
211 |
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{
|
212 |
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"output_type": "execute_result",
|
213 |
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"data": {
|
214 |
+
"text/plain": [
|
215 |
+
"'\\nГрязь, гниль, вонь, вонище, хлябь, тухлятина, плесень, чавка'"
|
216 |
+
],
|
217 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
218 |
+
"type": "string"
|
219 |
+
}
|
220 |
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},
|
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"metadata": {},
|
222 |
+
"execution_count": 15
|
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+
}
|
224 |
+
]
|
225 |
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},
|
226 |
+
{
|
227 |
+
"cell_type": "markdown",
|
228 |
+
"source": [
|
229 |
+
"Функция для генерации"
|
230 |
+
],
|
231 |
+
"metadata": {
|
232 |
+
"id": "kXsbzBUFayk7"
|
233 |
+
}
|
234 |
+
},
|
235 |
+
{
|
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+
"cell_type": "code",
|
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"source": [
|
238 |
+
"# функция принимает текстовый запрос и словарь параметров генерации\n",
|
239 |
+
"def generate_text(text_promt: str, gen_config_dict: Dict[str, Union[float, int]]) -> str:\n",
|
240 |
+
" inputs = tokenizer(text_promt, return_tensors=\"pt\").to(DEVICE)\n",
|
241 |
+
" generation_config = GenerationConfig(**gen_config_dict)\n",
|
242 |
+
" output = model.generate(**inputs, pad_token_id=tokenizer.eos_token_id, generation_config=generation_config)\n",
|
243 |
+
" generated_text = tokenizer.decode(output[0], skip_special_tokens=True)\n",
|
244 |
+
" generated_text = generated_text[len(text_promt):]\n",
|
245 |
+
" return generated_text\n",
|
246 |
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"\n",
|
247 |
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"\n",
|
248 |
+
"# конфиг словарь для генерации текста\n",
|
249 |
+
"gen_config_dict = dict(\n",
|
250 |
+
" do_sample=True, # делать ли случайное семплирование с параметрами ниже (если False то выскочит предупреждение)\n",
|
251 |
+
" max_new_tokens=20, # сколько максимум новых токенов надо генерировать\n",
|
252 |
+
" top_k=50, # семплировать только из top_k самых вероятных токенов\n",
|
253 |
+
" top_p=0.9, # семплировать только из токенов сумма вероятностей которых не больше top_p\n",
|
254 |
+
" temperature=2.0, # температура для софтмакса\n",
|
255 |
+
" num_beams=3, # параметр алгоритма Beam search\n",
|
256 |
+
" repetition_penalty=2.0, # штраф за то что модель повторяется\n",
|
257 |
+
" pad_token_id=tokenizer.pad_token_id, # установить токен pad чтобы не было предупреждения\n",
|
258 |
+
" )\n",
|
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+
"\n",
|
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+
"\n",
|
261 |
+
"text_promt = 'в небесной канцелярии выходной'\n",
|
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+
"generated_text = generate_text(text_promt, gen_config_dict)\n",
|
263 |
+
"generated_text"
|
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+
],
|
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+
"metadata": {
|
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+
"colab": {
|
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+
"base_uri": "https://localhost:8080/",
|
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+
"height": 36
|
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+
},
|
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+
"id": "HMg9ckjcZ1hn",
|
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+
"outputId": "0640b51e-50f6-4f37-f7ee-1d5b2eeae30d"
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+
},
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"execution_count": 16,
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+
"outputs": [
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+
{
|
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+
"output_type": "execute_result",
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"data": {
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+
"text/plain": [
|
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+
"', и только после этого можно заниматься этим вопросом. Но это уже совсем другие истории, которые могут'"
|
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+
],
|
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+
"application/vnd.google.colaboratory.intrinsic+json": {
|
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+
"type": "string"
|
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+
}
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+
},
|
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+
"metadata": {},
|
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+
"execution_count": 16
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+
}
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]
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},
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+
{
|
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+
"cell_type": "markdown",
|
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+
"source": [
|
293 |
+
"# Gradio App"
|
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+
],
|
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+
"metadata": {
|
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+
"id": "MgzsPmnx90zW"
|
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+
}
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+
},
|
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+
{
|
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+
"cell_type": "markdown",
|
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+
"source": [
|
302 |
+
"## Новый интерфейс Чат-бота"
|
303 |
+
],
|
304 |
+
"metadata": {
|
305 |
+
"id": "z41veiFa62k2"
|
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+
}
|
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+
},
|
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+
{
|
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+
"cell_type": "markdown",
|
310 |
+
"source": [
|
311 |
+
"Вариант с системным промтом и разными входными аргументами и настройками"
|
312 |
+
],
|
313 |
+
"metadata": {
|
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+
"id": "mxsjlHD0_Xxn"
|
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+
}
|
316 |
+
},
|
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+
{
|
318 |
+
"cell_type": "code",
|
319 |
+
"source": [
|
320 |
+
"import gradio as gr\n",
|
321 |
+
"\n",
|
322 |
+
"# функция будет вызыватся при нажатии на Enter в окошке вовода текста\n",
|
323 |
+
"# кроме обычных аргументов - сообщения пользователя и истории - принимает еще параметры для конфига генерации\n",
|
324 |
+
"def generate(message, history, *components):\n",
|
325 |
+
" # print(system_promt)\n",
|
326 |
+
" # обновление словаря новыми агрументами и создание конфига генерации текста\n",
|
327 |
+
" gen_config.update(dict(zip(gen_config.keys(), components)))\n",
|
328 |
+
" gen_config['top_k'] = int(gen_config['top_k'])\n",
|
329 |
+
" gen_config['num_beams'] = int(gen_config['num_beams'])\n",
|
330 |
+
" generation_config = GenerationConfig(**gen_config)\n",
|
331 |
+
"\n",
|
332 |
+
" # добавить системный промт в начало запроса и сгенерировать текст\n",
|
333 |
+
" promt = message\n",
|
334 |
+
" inputs = tokenizer(promt, return_tensors=\"pt\").to(DEVICE)\n",
|
335 |
+
" output = model.generate(**inputs, generation_config=generation_config, pad_token_id=tokenizer.eos_token_id)\n",
|
336 |
+
" generated_text = tokenizer.decode(output[0], skip_special_tokens=True)\n",
|
337 |
+
" generated_text = generated_text[len(promt):]\n",
|
338 |
+
" # имитация набора сообщения чат-ботом (посимвольня генерация через yield в цикле)\n",
|
339 |
+
" for i in range(len(generated_text)):\n",
|
340 |
+
" time.sleep(0.05) # задержка с которой бот вводит текст\n",
|
341 |
+
" yield generated_text[:i+1]\n",
|
342 |
+
"\n",
|
343 |
+
"# словарь для конфига генерации текста\n",
|
344 |
+
"gen_config = dict(\n",
|
345 |
+
" do_sample=False,\n",
|
346 |
+
" max_length=60,\n",
|
347 |
+
" top_k=50,\n",
|
348 |
+
" top_p=0.9,\n",
|
349 |
+
" temperature=2.0,\n",
|
350 |
+
" num_beams=3,\n",
|
351 |
+
" repetition_penalty=2.0,\n",
|
352 |
+
" )\n",
|
353 |
+
"\n",
|
354 |
+
"\n",
|
355 |
+
"# компоненты настройки конфига генерации текста\n",
|
356 |
+
"components = [\n",
|
357 |
+
" gr.Checkbox(label=\"do_sample\", value=gen_config[\"do_sample\"]),\n",
|
358 |
+
" gr.Slider(label=\"max_length\", value=gen_config[\"max_length\"], minimum=1, maximum=300, step=10),\n",
|
359 |
+
" gr.Number(label=\"top_k\", value=gen_config[\"top_k\"], minimum=0, maximum=50, step=10),\n",
|
360 |
+
" gr.Number(label=\"top_p\", value=gen_config[\"top_p\"], minimum=0, maximum=1, step=0.1),\n",
|
361 |
+
" gr.Number(label=\"temperature\", value=gen_config[\"temperature\"], minimum=0, maximum=10, step=0.1),\n",
|
362 |
+
" gr.Number(label=\"num_beams\", value=gen_config[\"num_beams\"], minimum=0, maximum=5, step=1),\n",
|
363 |
+
" gr.Number(label=\"repetition_penalty\", value=gen_config[\"repetition_penalty\"], minimum=0, maximum=5, step=0.1),\n",
|
364 |
+
" ]\n",
|
365 |
+
"\n",
|
366 |
+
"# при нажатии Enter в чате будет вызыватся функция generate\n",
|
367 |
+
"interface = gr.ChatInterface(\n",
|
368 |
+
" generate,\n",
|
369 |
+
" chatbot=gr.Chatbot(height=300), # вход для функции generate: message\n",
|
370 |
+
" textbox=gr.Textbox(placeholder=\"Задайте любой вопрос\", container=False, scale=2), # выходной бокс для текста\n",
|
371 |
+
"\n",
|
372 |
+
" # дополнительные входы для функции generate (*components)\n",
|
373 |
+
" additional_inputs=components,\n",
|
374 |
+
"\n",
|
375 |
+
" # настройки оформления\n",
|
376 |
+
" title=\"Чат-бот T10\", # название страницы\n",
|
377 |
+
" description=\"Окно переписки с ботом\", # описание окошка переписки\n",
|
378 |
+
" theme=\"Glass\", # темы: Glass, Monochrome, Soft\n",
|
379 |
+
" # examples=[\"Hello\", \"Am I cool?\", \"Are tomatoes vegetables?\"], # примеры должны быть множественными если аргументов много\n",
|
380 |
+
" # cache_examples=True, # кешировать примеры\n",
|
381 |
+
"\n",
|
382 |
+
" # дполнительные кнопки (если не нужна какая либо кнопка ставим None)\n",
|
383 |
+
" submit_btn='Отправить',\n",
|
384 |
+
" retry_btn='Повторить вопрос',\n",
|
385 |
+
" undo_btn=\"Удалить предыдущий вопрос\",\n",
|
386 |
+
" clear_btn=\"Очистить историю\",\n",
|
387 |
+
")\n",
|
388 |
+
"\n",
|
389 |
+
"# запуск приложения\n",
|
390 |
+
"interface.queue().launch(debug=True)"
|
391 |
+
],
|
392 |
+
"metadata": {
|
393 |
+
"colab": {
|
394 |
+
"base_uri": "https://localhost:8080/",
|
395 |
+
"height": 819
|
396 |
+
},
|
397 |
+
"id": "8c9BhO7SudbA",
|
398 |
+
"outputId": "d1d67aa5-04a6-4129-c7ed-a2e60fe7e45f"
|
399 |
+
},
|
400 |
+
"execution_count": 17,
|
401 |
+
"outputs": [
|
402 |
+
{
|
403 |
+
"output_type": "stream",
|
404 |
+
"name": "stdout",
|
405 |
+
"text": [
|
406 |
+
"Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
|
407 |
+
"\n",
|
408 |
+
"Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
|
409 |
+
"Running on public URL: https://82df78dd1728af38f1.gradio.live\n",
|
410 |
+
"\n",
|
411 |
+
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
|
412 |
+
]
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"output_type": "display_data",
|
416 |
+
"data": {
|
417 |
+
"text/plain": [
|
418 |
+
"<IPython.core.display.HTML object>"
|
419 |
+
],
|
420 |
+
"text/html": [
|
421 |
+
"<div><iframe src=\"https://82df78dd1728af38f1.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
|
422 |
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]
|
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+
},
|
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"metadata": {}
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"output_type": "stream",
|
428 |
+
"name": "stderr",
|
429 |
+
"text": [
|
430 |
+
"/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:381: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `2.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.\n",
|
431 |
+
" warnings.warn(\n",
|
432 |
+
"/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:386: UserWarning: `do_sample` is set to `False`. However, `top_p` is set to `0.9` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.\n",
|
433 |
+
" warnings.warn(\n",
|
434 |
+
"/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:381: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `2.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.\n",
|
435 |
+
" warnings.warn(\n",
|
436 |
+
"/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:386: UserWarning: `do_sample` is set to `False`. However, `top_p` is set to `0.9` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`.\n",
|
437 |
+
" warnings.warn(\n"
|
438 |
+
]
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"output_type": "stream",
|
442 |
+
"name": "stdout",
|
443 |
+
"text": [
|
444 |
+
"Keyboard interruption in main thread... closing server.\n",
|
445 |
+
"Killing tunnel 127.0.0.1:7861 <> https://82df78dd1728af38f1.gradio.live\n"
|
446 |
+
]
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"output_type": "execute_result",
|
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+
"data": {
|
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+
"text/plain": []
|
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+
},
|
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+
"metadata": {},
|
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+
"execution_count": 17
|
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+
}
|
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+
]
|
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+
}
|
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+
]
|
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+
}
|