enotkrutoy commited on
Commit
a575108
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1 Parent(s): ce46ffd

Update app.py

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  1. app.py +55 -53
app.py CHANGED
@@ -1,64 +1,66 @@
1
- import gradio as gr
2
- from huggingface_hub import InferenceClient
 
 
 
3
 
4
- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
6
- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
8
 
 
 
 
9
 
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- def respond(
11
- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
19
 
20
- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
25
 
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- messages.append({"role": "user", "content": message})
 
 
 
 
 
 
 
 
 
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- response = ""
 
 
 
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
38
 
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- response += token
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- yield response
 
 
 
 
 
 
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
46
- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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- ],
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- )
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-
62
 
63
- if __name__ == "__main__":
64
- demo.launch()
 
1
+ from telegram import Update
2
+ from telegram.ext import ApplicationBuilder, CommandHandler, MessageHandler, filters, ContextTypes
3
+ import requests
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+ import json
5
+ import os
6
 
7
+ # Получаем токены из secrets
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+ HF_API_KEY = os.getenv("HF_API_KEY")
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+ TELEGRAM_BOT_TOKEN = os.getenv("TELEGRAM_BOT_TOKEN")
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+ HF_API_URL = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions"
11
 
12
+ # Обработчик стартовой команды
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+ async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
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+ await update.message.reply_text("Привет! Я бот, который отвечает на ваши вопросы. Напишите мне что-нибудь.")
15
 
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+ # Обработчик сообщений
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+ async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE):
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+ user_message = update.message.text
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+ await update.message.reply_text("Думаю...")
 
 
 
 
 
20
 
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+ # Формируем запрос к API Hugging Face
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+ headers = {
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+ "Authorization": f"Bearer {HF_API_KEY}",
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+ "Content-Type": "application/json",
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+ }
26
 
27
+ payload = {
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+ "model": "Qwen/Qwen2.5-Coder-32B-Instruct",
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+ "messages": [
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+ {"role": "user", "content": user_message}
31
+ ],
32
+ "temperature": 0.5,
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+ "max_tokens": 2048,
34
+ "top_p": 0.7,
35
+ "stream": False,
36
+ }
37
 
38
+ try:
39
+ response = requests.post(HF_API_URL, headers=headers, data=json.dumps(payload))
40
+ response.raise_for_status()
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+ data = response.json()
42
 
43
+ # Извлекаем текст из ответа модели
44
+ reply = ""
45
+ choices = data.get("choices", [])
46
+ if choices:
47
+ reply = choices[0].get("message", {}).get("content", "")
 
 
 
48
 
49
+ # Отправляем ответ пользователю
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+ await update.message.reply_text(reply if reply else "К сожалению, я не смог ничего придумать.")
51
+ except requests.exceptions.RequestException as e:
52
+ await update.message.reply_text(f"Сетевая ошибка: {e}")
53
+ except json.JSONDecodeError as e:
54
+ await update.message.reply_text(f"Ошибка декодирования JSON: {e}")
55
+ except Exception as e:
56
+ await update.message.reply_text(f"Неизвестная ошибка: {e}")
57
 
58
+ # Запуск бота
59
+ if __name__ == "__main__":
60
+ app = ApplicationBuilder().token(TELEGRAM_BOT_TOKEN).build()
61
 
62
+ app.add_handler(CommandHandler("start", start))
63
+ app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
 
65
+ print("Бот запущен!")
66
+ app.run_polling()